Next Article in Journal
LSTM Networks for Home Energy Efficiency
Previous Article in Journal
Development of Ballistic Protection Soft Panels According to Regulatory Documents
Previous Article in Special Issue
Design and Application of Low-Temperature Geothermal Thermoelectric Power Generation (Lotemg–TPG) in Sari Ater Hot Spring, Ciater, Subang, West Java, Indonesia
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

A Systematic Literature Review on AC Microgrids

1
Doctorado en Sistemas de Ingeniería, Faculty of Engineering, University of Talca, Campus Curicó, Curicó 3344158, Chile
2
Laboratory of Energy Conversion and Power Electronics, Direction of Research, Universidad de Talca, Curicó 3341717, Chile
3
Laboratory of Power and Control Systems, Faculty of Engineering, Universidad Nacional de Asunción, Luque 2060, Paraguay
4
Power Electronics, Machines and Control (PEMC) Group, 15 Triumph Rd, Lenton, Nottingham NG7 2GT, UK
5
Department of Electrical Engineering, Faculty of Engineering, University of Talca, Campus Curicó, Curicó 3344158, Chile
*
Author to whom correspondence should be addressed.
Designs 2024, 8(4), 77; https://doi.org/10.3390/designs8040077
Submission received: 17 April 2024 / Revised: 28 July 2024 / Accepted: 30 July 2024 / Published: 5 August 2024

Abstract

:
The objective of this work is to analyze and compare AC microgrid (ACMG) solutions to introduce the topic to new researchers. The methodology used to achieve this goal is a systematic literature review using five questions: (1) How have ACMGs evolved in five years? (2) What are the standards for ACMGs? (3) What are the different schemes for connecting MGs to the utility grid? (4) What are the different control schemes in ACMGs? (5) What is an appropriate way to compare results when working with ACMGs? The articles were published in Q1/Q2 journals as based on either the Scimago Journal Rank (SJR) and/or the Journal Citation Report (JCR) between 2018 and 2022 and were from three databases: (1) Web of Science (WoS), (2) Scopus, and (3) IEEE Xplore. Publications not describing pure ACMGs, review papers, publications not related to the questions, and papers describing work that did not meet a quality assessment were excluded, resulting in 34 articles being included in this review. Results show: (1) the energy sources and AC bus nature of microgrids over five years, (2) the identification and quantification of cited standards for microgrids, (3) the pros and cons of different schemes for connecting an AC microgrid to the main grid, (4) the control schemes, classified in a hierarchical control structure, and (5) the simulation tools and experimental benches used in microgrids. Most studies considered a generic energy source and a low-voltage three-phase AC bus, 16 standards were found, and the most cited standard was IEEE Standard 1547. The most common connection scheme to the utility grid was a direct connection, most of the works proposed a modification to a hierarchical control system scheme, and the most common simulation tool was MATLAB. The preferred experimental setup consisted of parallel inverters for testing a control scheme, a prototype when proposing a power electronic system, and a laboratory microgrid for testing fault detection methods.

1. Introduction

With the advent of renewable energy, the paradigm in electrical systems has shifted from centralized to distributed generation. This has given birth to the concept of microgrids. Although the concept of a microgrid varies between different authors and has been changing over the years, a good definition of a microgrid is “a group of interconnected loads and distributed energy resources within clearly defined electrical boundaries that acts as a single controllable entity with respect to the grid. A microgrid can connect and disconnect from the grid to enable it to operate in both grid-connected or island mode”. Microgrids can enable grid modernization, allow the integration of renewable energies, reduce peak loads and losses by locating generation near demand, ensure power availability for critical loads, and may support the main grid [1].
Microgrids are often classified according to the nature of the common bus to which the generators, loads, and storage elements are connected. If the bus works in alternating current (AC), the microgrid can be called an AC microgrid, if the bus is direct current (DC), the microgrid is known as DC microgrid, and if it has both AC and DC buses, it is known as a hybrid microgrid. Microgrids can be connected to the main electrical system (so-called grid-connected MGs) or they can be independent of the grid, so-called off-grid MGs. Nevertheless, the imcrogrid must be able to operate independently of the grid, which it is known as island mode [2]. This last requirement makes it necessary to include systems that allow continuous and controlled generation of power. Controlled generation sources are generally based on non-renewable and polluting energy, so they should be avoided if possible. However, the variability of renewable energy production usually requires operation with the addition of an appropriate storage system. Currently, bidirectional converter technologies are crucial for efficient energy management in microgrids, as they allow users to store renewable energy and release it when necessary [3,4].
Matrix converters are bidirectional AC/AC converters that have been studied for over 50 years, during which time researchers have acquired mature knowledge for applications in grid operations, sustainable transportation, and electrical drives [5]. Papers have proposed the inclusion of matrix converters in microgrids, but they are usually focused on the modulation or control scheme and do not consider distributed generation [6,7]. The motivation of the work described in this paper is to consider the state of development of microgrids to evaluate the inclusion of matrix converters, taking into account the current problems of microgrids and their required functionalities. Given the nature of matrix converters, which are bidirectional AC/AC converters, only AC microgrids (ACMGs) are considered. Matrix converters have applications in grid-tied microgrids as the interface between the microgrid (MG) and the main grid [5,8] for bidirectional power flow, so grid-connected microgrids receive more points than islanded microgrids in the evaluation process.
There are related reviews on ACMGs, but they tend to be very specialized, whereas more general approaches are presented in this paper. Some review articles discuss protection schemes for ACMGs [9,10,11,12,13]; other works center on control and management systems [14,15]. In addition, none of the related papers developed a systematic literature review (SLR). The main objective of this work is to summarize the current information on ACMGs in order to introduce the topic to new researchers in a simple way.
This paper is organized into five sections. This section introduced the paper. Section 2 shows the material and methods employed for developing the review. Section 3 shows the findings of this review. Section 4 discusses the results, and Section 5 presents conclusions.

2. Materials and Methods

This systematic literature review (SLR) follows the structure suggested by the PRISMA 2020 statement [16] as much as possible, considering this journal’s requirements. The workflow starts by formulating the following five research questions (RQs):
  • Research question 1 (RQ1): How have AC microgrids (ACMGs) evolved over five years? This question aims to find the most common structures of microgrids (MGs) and the tendency for the next years. It is too wide, so just two characteristics were considered: the nature of every distribution generation unit (DGU) employed and the nature of the AC bus.
  • Research question 2 (RQ2): What are the standards for ACMGs? This question is intended to compile the current requirements of ACMGs.
  • Research question 3 (RQ3): What are the different schemes for connecting MGs to the utility grid? This focuses on the method for grid connection. It may be direct with possible connecting relays or through different power converters.
  • Research question 4 (RQ4): What are the different control schemes in ACMGs? The control system design depends on the source of energy, filters, and power converter employed.
  • Research question 5 (RQ5): What is an appropriate way to show results when working with ACMGs? This question will be helpful in investigating ACMGs, so it can introduce the equipment required to lead an investigation.
These questions are the basis of the work, and every decision made during the development of the work has been taken to answer these questions successfully. A general scheme of the paper selection procedure is shown in Figure 1. The different steps in the process are detailed in the following subsections.
Tools employed to organize and evaluate the papers were:
  • Mendeley reference manager: for reading, taking notes, and organizing papers along the process;
  • Microsoft (MS) Excel: for arranging, evaluating, and extracting data.

2.1. Inclusion and Exclusion Criteria

2.1.1. Inclusion Criterion (IC)

  • IC1: articles from journals written in English and that included ACMGs, especially if they are grid-tied, published between 2018 and 2022.

2.1.2. Exclusion Criteria (EC)

  • EC1: not being in a Q1/Q2 journal—this is a guarantee of quality;
  • EC2: abstract showing that it does not study a pure ACMG;
  • EC3: the paper is a review—only primary sources were considered;
  • EC4: lack of information to answer more than three research questions. The objective of this criterion is to reduce the number of articles included and to keep those with more information related to the study. It was included for three main reasons: (1) publications that include a real system or at least an experimental MG are considered more important to answer RQ1 than those that only have theoretical formulations (equations) or simulations of non-real systems; (2) RQ5 only makes sense when the study answers RQ1 and RQ3 or RQ4; (3) most of the works are high-quality papers, so they get a high score even when not answering any question.

2.2. Information Sources

The databases employed for the research were Web of Science (WoS) and Scopus due to their reputation and reliability. IEEE Xplore was also consulted to recover newer papers that might not yet be available in the aforementioned databases.

2.3. Search Strategy

The main query used for the research was: (“AC micro-grid” OR “AC micro*grid”) AND (grid AND (connect* OR tie*)). The search query was obtained in an iterative process, as we tried to obtain only works related to the research questions. This search command is understandable in all three databases, simplifying the reproducibility of the work. Other concepts such as “active distribution network”, “parallel converters”, and “distributed generation” can also be intimately related to MGs, but the authors preferred a short, simple query instead of trying to cover the whole universe. As initial search queries such as “microgrid” resulted in thousands of works, it was not considered necessary to capture more papers; instead, our purpose was to reduce the number of resulting papers and to keep those that could help answer the research questions. As the term “microgrid” involves not only the most popular DC MGs but also other topics such as heat systems, policies, economic aspects, stability studies, and communication systems, the employed term “AC microgrid” could filter the results more successfully. It was not an easy task to establish a search query because the research questions were too general and the results too numerous. Moreover, the following filters were considered:
  • Only journal papers, which have passed through a more rigorous revision process than other sources;
  • Only articles published between 2018 and 2022 to ensure that the information used in the study was up to date;
  • Only papers in English because English is considered to be the more extended language for scientific research;
  • In Scopus, the query was applied to the title, abstract, or keywords to reduce the high number of articles presented without this restriction (3768 articles).

2.4. Selection Process

2.4.1. Q1/Q2 filtering

The search process was performed by the first author, who also defined the eligibility criteria, so the work might be biased based on his criteria. However, the rest of this section tries to explain in great detail all the reasons for the different choices the author made during the review process. To guarantee trusted sources, only articles in the first or second quartile (Q1/Q2) were included, reducing the number to 122 studies from 45 different journals, which may be found in Appendix A. Two rankings were considered: SJR (Scientific Journal Ranking) in the categories Energy or Engineering and JCR (Journal Citation Report) in the category Engineering, Electrical and Electronic. These categories were chosen in order for us to focus on research on the electrical and electronic aspects of MGs. Nevertheless, in practice, the categories chosen in SJR were much more inclusive than the categories in JCR. As SJR has more journals, most of the papers that appear in JCR also appear in SJR with a better percentile. Only the journals: Electronics, IEEE Transactions on Smart Grid, and IET Renewable Power Generation were included by the JCR side and not by SJR. The first exclusion criterion (EC1) is: not belonging to a journal that has been Q1 or Q2 in at least one of the aforementioned rankings in the included five years.

2.4.2. Title and Abstract Screening

Titles and abstracts were screened, and some articles were excluded:
  • EC2: abstract shows that the study does not include a pure ACMG but instead studies a DC MG, hybrid MG, or other type of MG [17,18,19,20,21,22,23,24,25,26,27,28,29,30].
  • EC3: the article is a review—review articles are excluded as they are not primary sources [31,32].
Thereafter, exclusion criterion 4 (EC4) (explained in the Section 2.4.3) was applied.

2.4.3. Excluding Criterion 4 (EC4)

To reduce the number of works studied while keeping the more relevant ones for answering the research questions, it was decided to exclude works that do not satisfy at least two of the three following requirements:
  • Includes a grid-tied MG;
  • Has real or experimental results (not just theoretical or simulation results);
  • Answers three or more research questions.
This rule reduced the number of works to 67. In this step, one article could not be verified because access was not possible, so it was also excluded [33]. Emulation platforms were considered experimental setups. The electrolyzer found in one article is only used for hydrogen generation, so it does not count as a distribution generation unit (DGU), and its scheme is not considered an MG [34].

2.4.4. Quality Evaluation

Finally, these 67 works were evaluated with the criteria shown in Table 1, resulting in 34 articles included in this review. Articles with a score greater than or equal to 80 points out of 100 were included. The evaluation was done in an MS Excel sheet.
The first 60 points relate to the quality of the article, while the last 40 points relate to the research questions. The threshold of 80 points was selected to reduce the sample size to a manageable number.

2.5. Data Collection Process

The first author gathered data. Some data were tabulated in the same MS Excel Version 2496 sheet used for evaluation, and some information was directly inserted into this document.

2.6. Data Items

Included studies are summarized in Table 2, where excluded works and the exclusion reasons are also shown. Many areas are included, such as the design of a power converter for solving a specific problem, the simulation and emulation of control systems for ACMGs, optimization of MG parameters, techniques for noise reduction, and fault detection and protection systems.

2.7. Study Risk of Bias Assessment

As for all search queries, evaluation and data extraction were performed by one author; the authors recognize the possibility of introducing bias in the process. However, as this is not a quantitative study, it is difficult to evaluate bias, and the best that can be done is to show the work and explain the method as transparently as possible.

2.8. Synthesis Methods

2.8.1. RQ1a

For RQ1a, the number of articles using each type of DGU was counted. Only DGUs used in the main work were counted. Energy storage systems were also counted, as they can act as DGUs.

2.8.2. RQ1b

The information was searched in the text and figures.

2.8.3. RQ2

The requirement was to explicitly include the name of the standard in the document. On the first read of the articles, the standard was remarked on if found. Then, in a second phase, the word standard was searched for with the text finder in Mendeley. In this way, some standards included in the references were also found. A problem this last search may have is the separation at the end of the line, as was found in some articles, so the first compilation was kept, and the second procedure was only to complement and could not replace the full reading of an article.

2.8.4. RQ3

The connection scheme of the ACMG to the main grid was first searched for in the figures of the developed work. The text was then read if any information was missing. When not all the necessary information was found, the work was excluded based on.

2.8.5. RQ4

The control scheme was first searched for in the figures, and then the text was read again for missing information. As was found during the work, there are different approaches to controlling a microgrid. The first time, all control systems were extracted, including their function and the level of hierarchy control (if this existed). In a second round, after gaining more knowledge on the topic, it was decided to classify the different control schemes to answer this question. The modulation stage is not considered a control system. In HMGs, only the control system involved in AC bus control was considered, but sometimes it was difficult to separate the control system, especially when the system had interleaved converters that worked between the AC and DC buses.

2.8.6. RQ5

The simulation and experimental sections were read to find this information. The results consisted of simulations or experimental results, so all the simulation tools and experimental platforms or benches were compiled.

3. Results

3.1. Research Question 1 (RQ1): Evolution of AC Microgrids (ACMGs) over Five Years

This research question is very wide, so in this study, two aspects are considered: the source of energy of the distributed generation units and the characteristics of the AC bus—in other words, the level of voltage, number of phases, and frequency of the AC bus.

3.1.1. RQ1a: Evolution of Distributed Generation (DG) in ACMGs over Five Years

To answer this question, the number of articles that contained each DG source was counted and tabulated. Data were drawn using MATLAB and are shown in Figure 2.
Most of the works used a hierarchical control scheme for microgrids. Defining the type of energy source was mainly necessary for the control of the tertiary level for optimal dispatch [62]. Modeling the different sources of energy is another case when the nature of the DG unit is important [35]. Furthermore, designing a specific system based on one DG unit is another case in which the energy source of the DG unit is mentioned [43,44,61].
In other cases, such as proposing solid state transformers or interlinking devices for AC and DC buses [64], modifying the primary level [53,56,59,60,65,68], dealing with the secondary level [58], seamless operation [39,46,48,55], grid feeding [38,41], grid support [45,50,54,57,63], detecting faults [36,47,49,67], dynamic response enhancement [51], measurements [52], and communication improvements [66], energy sources were not important.
DG units (DGUs) are assumed to use generic DG when DG is mentioned but not used in the main work [57,58]. Superconducting magnetic energy storage is considered an ESS [44]. PV emulators used in the experimental setup were also considered as PV DGUs [37,40,61]. In [62], the DDGs mentioned were considered generic DGs, as they can came from diesel, hydro, thermal, or other sources. The difference the author claims is that DDG power is programmable, whereas renewable sources such as PV or WT are not always available. In [64], the source was considered to be a PV system, because even though it uses an ideal DC link, the power-decoupled current source inverter (PD-CSI) was designed taking into account PV systems.

3.1.2. RQ1b: Evolution of AC Buses in ACMGs over Five Years

The results for the different AC buses found are summarized in Table 3. The nature of the AC bus is classified as: low-voltage single-phase and high-frequency (LV 1- ϕ HF), low-voltage single-phase (LV 1- ϕ ), low-voltage three-phase (LV 3- ϕ ), and medium-voltage three-phase (MV 3- ϕ ). The works are arranged by publication year. For the voltage level, we considered:
  • Low-voltage (LV): up to 1000 V;
  • Medium-voltage (MV): between 1000 V and 45 kV.
Some remarks regarding the data extraction include: the voltage operation level is not mentioned, but it was assumed to be low-voltage due to its experimental setup [45]. The voltage level is not shown, but this is assumed to be MV because of the power levels [51]. An article included an unusual AC bus frequency of 400 Hz, so it was separated from the others [37]. The article shows a low voltage, but it is not clear whether it is single-phase or three-phase, so it was not included in answering this part of the question [58]. The voltage level is not mentioned, but it is assumed to be low-voltage because the power levels are within the range of generators with low voltages [62]. The MG does not have an AC bus but is connected to a single-phase grid [63].

3.2. Research Question 2 (RQ2): Standards for ACMGs

Standards found in the included works are tabulated in Table 4. Many works do not mention any standard [35,36,37,41,42,45,46,48,49,53,55,56,62,63,65,66,67]. Some of them refer to IEEE Standards [48,53,54] or IEC Standards [54] but do not mention anything specific. It is important to note that VDE 0126-1-1 is a German standard for which the current status is “withdrawn”.

3.3. Research Question 3 (RQ3): Schemes for Connecting MGs to the Utility Grid

The direct connection scheme can be through a filter, a circuit breaker, or a combination of both. The schemes we found for connecting ACMGs to the main grid with their respective pros and cons are tabulated in Table 5. The information extracted is only from the main work the papers include and does not include information about grid connections that is present in the introduction.
There were some considerations when collecting information. The article involving the high-frequency AC bus is considered an islanded solution [37]. Another article included two schemes, but the laboratory grid scheme uses an autotransformer [41]. Some MGs are considered islanded because the work does not show a clear connection of the AC bus to the main grid; also, the work focuses on distributed generation and does not consider the grid connection [56]. A photovoltaic unified power quality conditioner (PV-UPQC) connects to the grid at two points through an isolation transformer—on the primary and the secondary—which is why it is put into another category [43]. One article does not have only one AC bus: instead, three AC buses with their AC sources are interconnected through inverters connected to the same DC bus [50]. A paper used TRIAC to connect the AC bus to the grid, but this is considered to be a type of direct connection [55].

3.4. Research Question 4 (RQ4): Control Schemes in ACMGs

Before answering this question, note that there are many control system schemes for different purposes among the different subsystems inside a microgrid. Commonly controlled variables can be power (active or reactive), voltage (magnitude and frequency), and current. Some works pretend to improve the quality of the electrical variables with their control system by controlling reactive power, reducing harmonics, and seeking seamless transitions between modes of operation. Other problems must also be resolved with control systems, such as the capability of working in an islanded and grid-tied mode and delays in the communication systems of centralized or distributed control.
Taking into account the results, hierarchical control is a promising approach to controlling a microgrid; it defines three levels for controlling different variables. Primary-level control is responsible for controlling active and reactive power, and this level is usually decentralized. Secondary-level control is responsible for correcting the steady-state deviation of the primary level and can be centralized, decentralized, or distributed. Finally, tertiary-level control is in charge of energy dispatching, i.e., establishing the power references. Again, control schemes can be found for a seamless transition from islanded to grid-tied mode or vice versa. Decentralized droop-based control schemes are the most popular at the primary level for power sharing. Secondary control may be centralized, decentralized, or distributed. Some authors prefer to avoid communication and propose decentralized secondary control, while others prefer to include a communication system to have more information in a centralized or distributed secondary control system. Tertiary control is centralized. Taking into account the results, the authors recommend using hierarchical control for a matter of organization. The authors consider that the most organized way to divide this multipurpose control system is hierarchical control, so the control schemes we found were classified into the hierarchical scheme structure when possible, as shown in Table 6. Some works did not explicitly show a control system [47,49,67], and some used only pulse width modulation [52].
After this classification, it can be seen that most of the works accept the hierarchical control scheme, as this scheme facilitates the design of a specific part of the control system. This classification shows the (highest) level that each control system occupies (or might occupy) in a hierarchical control scheme. For example, a control system occupying the secondary level may replace the secondary control or both the secondary and primary levels. The first 0-level is for control systems that could be employed in the inner loops of the primary level for controlling the voltages and currents.

3.5. Research Question 5 (RQ5): Tools and Experimental Setups for ACMGs

The answer to this question is classified into two categories: simulation and experimental results. The proposal of each article can be also arranged into five groups, and the results shown depend on this proposal. Proposals found among the works are (1) control schemes, (2) systems involving power converters, (3) fault detection methods, (4) optimization methods, and (5) power quality monitoring indexes. Depending on these classifications, the results and experiments, as well as the tools employed, were different. The information on the simulation tools used is summarized in Table 7. Most of the works involving MG control systems employ simulation tools to test their proposed schemes. Some of the works go further, with real-time simulation of MGs. Works proposing power converters for a specific application in MGs usually test their platform experimentally [36]. Some works do not specify the simulation tool [42,46,53]. In some of the articles, the plots seem to be made in MATLAB, but it is not clear, so they are not included in the table. MATLAB/Simulink was the most popular tool for simulations. PLECS can be used in a MATLAB environment [65], which suggests that authors perform simulations in MATLAB before PLECS implementation.
The experimental results were also classified with the same organization, but in this case, instead of the simulation tools, the type of experimental bench is considered, as shown in Table 8. The most common experimental method to test the control in MGs is through parallel converters. Only five works employed full experimental MGs with emulated or real generation units [39,49,61,67]. Another interesting approach is emulating an MG in real-time [40,41,53].

4. Discussion

4.1. Limitation of Evidence

In general, the search query could have been more extensive given other synonyms found in the current literature: nanogrid, picogrid, minigrid, smart grid, distributed generation, and parallel inverter; however, the term microgrid (MG) is the most common. Similarly, not including hybrid microgrids in the search query omits related information, as AC microgrids are present in hybrid microgrids. Nonetheless, limiting the search query to ACMGs is a price that must be paid to obtain a more selective sample, as the ultimate goal was not to consult all the literature but to answer the research questions. Distributed generation and parallel inverters are general terms that may or may not describe microgrids. Distributed generation is the basis for the development of microgrids and typically is related to renewable energy sources (RESs) in an MG; likewise, parallel inverters typically function in MGs. The main difference between the other concepts is the levels of power they manage, and only MGs are normally connected to the grid [155], so the employed term is considered correct. However, choosing only grid-connected MGs was an important cut of information, but it was one of the purposes of the work to review the different connection schemes.
More databases could have been included, but the choice of these databases does not represent a significant risk of bias in the posterior quality assessment because it is considered that the more qualified works and journals are present in these databases.
Taking into account the SLR technique, the research questions were too general, and they were modified during the process. They could have been defined more precisely if the knowledge of AC microgrids (ACMGs) was deeper. It is necessary to have closely related research questions, maybe fewer, to define a unique search query; otherwise, it could be better to define multiple search queries, but again, multiple queries can result in multiple articles with fewer questions. Moreover, the systematic literature review (SLR) technique was developed for resolving conflicts (different numerical results) between different sources, so PRISMA 2020 recommendations are best suited for solving conflicts or contradictory statements between different sources.

4.2. Interpretation

4.2.1. Research Question 1 (RQ1)

It can be seen that the distributed generation units (DGUs) are not of importance for many authors, given that they use generic DGUs in their studies. In any case, the most studied DGUs are photovoltaic (PV) systems along with a proper energy storage system, which should be of no surprise for DC or hybrid microgrids (HMGs), but they also occur in ACMGs.
PV systems as renewable energy sources have gained more interest than others given their high scalability and easy installation. PV efficiency has also increased over the years. Another reason PV systems are interesting is that solar irradiance is less unpredictable than other energy sources. These factors have produced a fast decline in costs, which makes PV systems less expensive than all of the other renewable energy sources. Evidence suggests that PV systems will continue to be the fastest growing renewable energy source for the coming years [156].
Concerning the AC bus, the most popular is the three-phase low-voltage. Works including medium-voltage buses were rarely included because they are difficult to implement experimentally. The fact that low-power distributed generation units usually work at low-voltage promotes the preference for low-voltage ACMGs. Another factor that drives the preference for low-voltage microgrids is local consumption, which does not require the voltage elevation that is necessary to reduce transmission losses. Three-phase systems are preferred over single-phase systems because the power is constant: they can transmit three times more power with just one more conductor, and they can supply three-phase loads as well as single-phase loads. One article presented an unusually high-frequency AC bus [37], and more works of this type are expected because this can help in high-frequency applications and allows reducing the number of components required for the filters; however, their usage is expected for specific islanded microgrids, like space applications, and not for the main utility grid. In conclusion, current facts and evidence imply that low-voltage three-phase AC buses will be preferred in the future.
In particular, the studied aspects were not the most interesting, but the work unveiled others that could be considered for the evolution of ACMGs. It is considered that the most relevant topics given the change of paradigm from centralized to distributed generation in ACMGs will be: (1) Control systems need to be modified, given that distributed generation has changed the usual control schemes and different standards and protocols have different requirements. (2) Energy storage systems need to be developed due to the variability of the energy sources. This will consist of enhancing the energy and power capacity of the energy storage systems. It includes appropriate energy conversion systems for storing and recovering electrical energy (fuel cells, flywheels, etc.) as well as the power electronics for adequate electrical energy delivery [3,4]. (3) Interconnection systems can help to connect DC and AC buses in microgrids and also interconnect different microgrids in the electrical system. (4) Communication systems can reduce package loss and allow faster and more reliable data transmission. (5) Measurement systems can provide appropriate power management and control. (6) Protection systems need to be updated, as current devices are not designed for distributed generation. (7) Optimization in terms of costs, losses, efficiency, etc., needs to be performed, and self-adaptive tuning methods for control parameters need to be formulated given the current developments in artificial intelligence and self-learning and self-adapting systems.
It is also shown that the number of included publications decreased since 2019; however, the first set of 147 articles did not show this decrease. Other search queries like “microgrid” show an increasing number of publications over time. This means that the selection process is likely to be responsible for the observed decrease. This could imply that the ACMG tied to the grid, which is the studied system, is less relevant for researchers than other topics like energy storage systems or DC and hybrid microgrids. In the future, one may expect a reduction in ACMGs and a dominance of DC microgrids since energy storage systems (ESSs), PV systems, and most household devices work with DC voltage. Today, HMGs lead this transition.

4.2.2. Research Question 2 (RQ2)

Standards from the IEEE Standard Association, which is an American institution, and the International Electrotechnical Commission (IEC) from Europe are the most popular. The standard to be adopted depends on the specific topic of study in the MG and regional and national regulations. As MGs are diverse, many standards on different topics were found. The reader should define the problem and select the standard according to their region and purpose.
The most frequently mentioned standard was IEEE Standard 1547, which is a series of standards for the connection of distributed energy resources with associated electric power system interfaces, with IEEE Standard 1547-2018 being the basis of the series [139]. Other standards of the series complement the first in other aspects like details, schematics, cybersecurity, island mode operation, secondary network systems, distribution impact studies for distributed generation interconnection, and storage systems. This standard has been fully adopted in 8 states and 25 utilities in the USA. It is also in the process of being adopted by other USA states and utilities [157]. The IEEE 519-2014 standard is the second-most cited standard and defines the voltage and current harmonic distortion criteria for the design of electrical systems [140].
The IEC is an international standards organization that prepares and publishes international standards for all electrical and electronic technologies; the IEC consists of 170 countries: 60 full members, 23 associate members, and 87 affiliates. IEC standards cover a vast range of technologies from power generation, transmission, distribution to home appliances and office equipment, semiconductors, fiber optics, batteries, solar energy, nanotechnology, and marine energy, as well as many others. EN 50160 is a standard from the IEC that defines the voltage characteristics for the electricity supplied by public electricity networks. IEC 61000-4-30 is another standard of interest that defines measurement procedures for applying the previous standard correctly.
Standards reference other standards, and nowadays, efforts are put into making them all compatible. For example, IEEE 1547 refers to IEEE Standard 519 and IEC 61000.4.15 [158] regarding flicker and fluctuation. Another example is IEEE Standard 519, which was purely an IEEE standard with no references to the IEC standards in its version from 1992, but its updated version from 2014 includes all of the measurement methods referenced to IEC standards.
Information on potential gaps and areas for improvement of standards has not been found in the included literature. However, standards will continue evolving, with every revision searching for global compatibility (as far as possible) for electric specifications; IEEE 1547 is a good option to adopt given its current state of development, its current permeation in the utilities, and its periodic revisions and improvements every 10 years by the IEEE Standard Association.

4.2.3. Research Question 3 (RQ3)

The most usual option is direct connection: letting the AC bus be directly connected to the main grid, perhaps with a current filter and a circuit breaker for protection. Transformers or auto-transformers are also based on passive elements and are also simple and more secure, but they are more expensive. One implication of using these passive schemes is that the AC bus voltage inside the microgrid is regulated by the main grid. Another implication is that microgrids change their mode of operation from island mode to grid-connected mode when the microgrid is connected to the main grid. This is how real-world microgrids are normally connected to the main grid [159,160].
Other, more complex systems like solid-state transformers are attractive as they allow a controlled interconnection of the MG and provide ancillary services. Practical implications include a more complex and expensive interface. They are preferred in DC or hybrid microgrids since they provide a DC stage, which serves as a DC bus [17]. However, a real-world application of this configuration has not been found. In the future, we expect more research on bidirectional grid/MG power interfaces, such as solid-state transformers, and devices that can provide ancillary services to this interface, such as unified power quality conditioners, active power filters, dynamic voltage restorers, and static synchronous series compensators.
One thing to bear in mind is the concept of MGs that different authors may have. Some works considered a grid-tied AC bus that only considered the grid-tied mode of operation, which lacks the autonomy of MGs. In this context, the stability and inertia of the MG are not taken into account, and some other problems, such as power quality or optimal dispatch, are approached. Some authors may consider a grid-tied electrical system with one generator alone as an MG, and some others define an MG as an autonomous electrical system with distributed generation that may or not be connected to the grid. We prefer the definition of IEEE Standard 1547 [139].

4.2.4. Research Question 4 (RQ4)

Control systems in microgrids are too wide, but in general, hierarchical control is taking over and promises to be the first option in the coming years as it provides an organized framework to establish a multipurpose control scheme. Central control is more effective but is not scalable like decentralized control [42,60]. Centralized control also requires good and fast communication, which represents more cost. However, central control can be applied to critical systems that do not change over time. Distributed control occupies a midpoint between centralized and decentralized control: being scalable but requiring a communication system among all (or some) of the converters [46,161].
The most popular recent trend in ACMG control systems is to look for a more robust control system and to improve the stability by appropriate voltage and frequency control systems [162,163,164,165,166,167]. Taking this trend into account, potential future directions would be to test and validate non-linear control as well as to include artificial intelligence in the control system. Another innovative trend is handling cyberattacks in the control system [168,169,170]. Other topics included in ACMG include the optimization of the energy management system (EMS) [171] and the seamless transition between grid-connected and island modes of operation [39,55]. Considering the need for energy storage systems, appropriate control systems for further developing energy storage technologies are also expected.

4.2.5. Research Question 5 (RQ5)

Many papers describing different proposals validated their work through simulations. MATLAB/Simulink has proven to be the first choice for simulation and is complemented by equipment like dSPACE for experimental applications. Other options are not very common. Moreover, MATLAB allows for an easy way to plot results and is widely used to show results.
The experimental microgrids found are mainly laboratory prototypes, and the results show only one-time operation, which does not tell about continuous operation. Most of the included works propose a control scheme for the MG, and the best choice for testing a control scheme is to have parallel inverters connected to the same bus. However, these experiments should include, if possible, the generation unit to test the controller response to the variability of renewable energy sources. When proposing a converter or system, it is almost a rule that an experimental prototype supports the proposal.

5. Conclusions

This work presents a systematic literature review on AC microgrids (ACMGs) based on five research questions, all of which have been addressed and discussed. The article serves as an introductory overview of ACMGs; it focuses on five key aspects and acts as a hub for accessing related research papers. These points include: (1) the evolution of ACMGs, (2) standards applicable to ACMGs, (3) grid connection schemes, (4) control systems within ACMGs, and (5) findings from articles on ACMGs.
According to the literature reviewed, the typical ACMG configuration involves distributed generation units connected via power converters to an AC bus that supplies AC loads. When connected to the grid, this AC bus is typically linked to the main grid through breakers and passive components. ACMGs commonly employ hierarchical control systems, facilitating operation in both grid-connected and island modes.
It is noteworthy that the development of microgrids is closely linked to the advancement of standards, with IEEE Standard 1547-2018 being particularly prominent.
Considering the trend towards autonomy achieved through batteries and the rising popularity of DC loads alongside the dominance of photovoltaic systems, the adoption of hybrid microgrids appears more pragmatic than relying solely on ACMGs.

Author Contributions

Conceptualization, M.G.-R. and M.R.; methodology, M.G.-R.; software, M.G.-R.; validation, M.G.-R. and M.R.; formal analysis, M.G.-R.; investigation, M.G.-R.; resources, M.G.-R., M.R. and J.M.; data curation, M.G.-R.; writing—original draft preparation, M.G.-R. and M.R.; writing—review and editing, M.G.-R., M.R., J.M. and P.W.; visualization, M.G.-R.; supervision, M.R., J.M. and P.W.; project administration, M.R., J.M. and P.W.; funding acquisition, M.R., J.M. and P.W. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Agencia Nacional de Investigación y Desarrollo (ANID) ANID-Subdirección de Capital Humano/Doctorado Nacional/2022-21220504, FONDECYT regular grant number 1220556, ANID FOVI230169, Fondap SERC 1523A0006, and IRCF project 24932270 from the University of Nottingham.

Data Availability Statement

Data sharing is not applicable.

Conflicts of Interest

All authors declare they do not have competing interests.

Abbreviations

The following abbreviations are used in this manuscript:
APFActive power filter
ACAlternating current
ACMGAC microgrid
DDGDispatchable distributed generation
DGDistributed generation
DGUDistributed generation unit
ECExclusion criterion
ESSEnergy storage system
FCS-MPCModel predictive control with finite control set
FPGAField programmable gate array
HFHigh frequency
HILHardware in the loop
HMGHybrid microgrid
ICInclusion criterion
JCRJournal Citation Report
LVLow voltage
MGMicrogrid
MPPTMaximum power point tracking
MSMicrosoft
MVMedium voltage
PD-CSIPower decoupled current source inverter
PIProportional-integral
PRProportional-resonant
PRIProportional-resonant-integral
PVPhotovoltaic
PV-UPQCPhotovoltaic unified power quality conditioner
PWMPulse width modulation
SGSynchronous generator
SJRScimago Journal Rank
RESRenewable energy source
RQResearch question
VSG-MPCModel-predictive-control-based virtual synchronous generator
VSIVoltage source inverter
WoSWeb of Science
WTWind turbine

Appendix A

A summary of the journals included in the study is presented in Table A1.
Table A1. Journals (Q1/Q2) in SJR or JCR and the number of works obtained from each one.
Table A1. Journals (Q1/Q2) in SJR or JCR and the number of works obtained from each one.
JournalArticle
Applied Sciences (Switzerland)3
Computers and Electrical Engineering2
Electric Power Systems Research4
Electricity Journal1
Electronics5
Electronics Letters1
Energies9
Energy Conversion and Management1
Energy Reports3
Heliyon1
IEEE Access7
IEEE Canadian Journal of Electrical and Computer Engineering1
IEEE Journal of Emerging and Selected Topics in Power Electronics3
IEEE Systems Journal4
IEEE Transactions on Circuits and Systems I: Regular Papers1
IEEE Transactions on Control Systems Technology1
IEEE Transactions on Industrial Electronics7
IEEE Transactions on Industrial Informatics2
IEEE Transactions on Industry Applications6
IEEE Transactions on Power Delivery1
IEEE Transactions on Power Electronics5
IEEE Transactions on Power Systems2
IEEE Transactions on Smart Grid11
IET Generation, Transmission and Distribution4
IET Power Electronics2
IET Renewable Power Generation3
International Journal of Electrical Power and Energy Systems9
International Journal of Energy Research1
International Journal of Hydrogen Energy1
International Review of Electrical Engineering1
International Transactions on Electrical Energy Systems6
Inventions1
Iranian Journal of Science and Technology-Transactions of Electrical Engineering1
Journal of Energy Storage1
Journal of Engineering1
Journal of Intelligent and Fuzzy Systems1
Journal of Modern Power Systems and Clean Energy1
Protection and Control of Modern Power Systems1
Renewable and Sustainable Energy Reviews2
Renewable Energy Focus1
Sustainable Cities and Society1
Sustainable Energy Technologies and Assessments1
Sustainable Energy, Grids, and Networks1
Systems and Control Letters1
TOTAL122

Appendix A.1. Registration and Protocol

This review is not registered and no protocol was prepared for this work.

Appendix A.2. Additional Data from This Work

The first author can supply more data related to this work.

References

  1. Ton, D.T.; Smith, M.A. The U.S. Department of Energy’s Microgrid Initiative. Electr. J. 2012, 25, 84–94. [Google Scholar] [CrossRef]
  2. Justo, J.J.; Mwasilu, F.; Lee, J.; Jung, J.W. AC-microgrids versus DC-microgrids with distributed energy resources: A review. Renew. Sustain. Energy Rev. 2013, 24, 387–405. [Google Scholar] [CrossRef]
  3. Min, J.; Ordonez, M. Bidirectional Resonant CLLC Charger for Wide Battery Voltage Range: Asymmetric Parameters Methodology. IEEE Trans. Power Electron. 2021, 36, 6662–6673. [Google Scholar] [CrossRef]
  4. Min, J.; Ordonez, M. Unified Bidirectional Resonant Frequency Tracking for CLLC Converters. IEEE Trans. Power Electron. 2022, 37, 5637–5649. [Google Scholar] [CrossRef]
  5. Bento, A.; Paraíso, G.; Costa, P.; Zhang, L.; Geury, T.; Pinto, S.F.; Silva, J. On the potential contributions of matrix converters for the future grid operation, sustainable transportation and electrical drives innovation. Appl. Sci. 2021, 11, 4597. [Google Scholar] [CrossRef]
  6. Malekjamshidi, Z.; Jafari, M.; Zhu, J.; Rivera, M. Design, Implementation, and Stability Analysis of a Space Vector Modulated Direct Matrix Converter for Power Flow Control in a More Reliable and Sustainable Microgrid. Sustainability 2020, 12, 8591. [Google Scholar] [CrossRef]
  7. Gontijo, G.; Soares, M.; Tricarico, T.; Dias, R.; Aredes, M.; Guerrero, J. Direct Matrix Converter Topologies with Model Predictive Current Control Applied as Power Interfaces in AC, DC, and Hybrid Microgrids in Islanded and Grid-Connected Modes. Energies 2019, 12, 3302. [Google Scholar] [CrossRef]
  8. Malekjamshidi, Z.; Jafari, M.; Zhu, J.; Xiao, D. Bidirectional power flow control with stability analysis of the matrix converter for microgrid applications. Int. J. Electr. Power Energy Syst. 2019, 110, 725–736. [Google Scholar] [CrossRef]
  9. Memon, A.A.; Kauhaniemi, K. A critical review of AC Microgrid protection issues and available solutions. Electr. Power Syst. Res. 2015, 129, 23–31. [Google Scholar] [CrossRef]
  10. Patnaik, B.; Mishra, M.; Bansal, R.C.; Jena, R.K. AC microgrid protection—A review: Current and future prospective. Appl. Energy 2020, 271, 115210. [Google Scholar] [CrossRef]
  11. Sarangi, S.; Sahu, B.K.; Rout, P.K. Review of distributed generator integrated AC microgrid protection: Issues, strategies, and future trends. Int. J. Energy Res. 2021, 45, 14117–14144. [Google Scholar] [CrossRef]
  12. Bui, D.M.; Chen, S.L.; Lien, K.Y.; Chang, Y.R.; Lee, Y.D.; Jiang, J.L. Investigation on transient behaviours of a uni-grounded low-voltage AC microgrid and evaluation on its available fault protection methods: Review and proposals. Renew. Sustain. Energy Rev. 2017, 75, 1417–1452. [Google Scholar] [CrossRef]
  13. Dagar, A.; Gupta, P.; Niranjan, V. Microgrid protection: A comprehensive review. Renew. Sustain. Energy Rev. 2021, 149, 111401. [Google Scholar] [CrossRef]
  14. Rajesh, K.; Dash, S.; Rajagopal, R.; Sridhar, R. A review on control of ac microgrid. Renew. Sustain. Energy Rev. 2017, 71, 814–819. [Google Scholar] [CrossRef]
  15. Mohammed, A.; Refaat, S.S.; Bayhan, S.; Abu-Rub, H. AC Microgrid Control and Management Strategies: Evaluation and Review. IEEE Power Electron. Mag. 2019, 6, 18–31. [Google Scholar] [CrossRef]
  16. Page, M.J.; McKenzie, J.E.; Bossuyt, P.M.; Boutron, I.; Hoffmann, T.C.; Mulrow, C.D.; Shamseer, L.; Tetzlaff, J.M.; Akl, E.A.; Brennan, S.E.; et al. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. Int. J. Surg. 2021, 88, 105906. [Google Scholar] [CrossRef]
  17. Agrawal, A.; Nalamati, C.S.; Gupta, R. Hybrid DC–AC Zonal Microgrid Enabled by Solid-State Transformer and Centralized ESD Integration. IEEE Trans. Ind. Electron. 2019, 66, 9097–9107. [Google Scholar] [CrossRef]
  18. Che, Y.; Zhou, J.; Lin, T.; Li, W.; Xu, J. A simplified control method for tie-line power of DC micro-grid. Energies 2018, 11, 933. [Google Scholar] [CrossRef]
  19. Eisapour-Moarref, A.; Kalantar, M.; Esmaili, M. Power sharing in hybrid microgrids using a harmonic-based multidimensional droop. IEEE Trans. Ind. Inform. 2020, 16, 109–119. [Google Scholar] [CrossRef]
  20. Jin, X.; Shen, Y.; Zhou, Q. A systematic review of robust control strategies in DC microgrids. Electr. J. 2022, 35, 107125. [Google Scholar] [CrossRef]
  21. Khosravi, N.; Abdolmohammadi, H.R.; Bagheri, S.; Miveh, M.R. Improvement of harmonic conditions in the AC/DC microgrids with the presence of filter compensation modules. Renew. Sustain. Energy Rev. 2021, 143, 110898. [Google Scholar] [CrossRef]
  22. Li, Y.; He, L.; Liu, F.; Li, C.; Cao, Y.; Shahidehpour, M. Flexible Voltage Control Strategy Considering Distributed Energy Storages for DC Distribution Network. IEEE Trans. Smart Grid 2019, 10, 163–172. [Google Scholar] [CrossRef]
  23. Lin, B. Modular soft-switching converter in DC micro-grid system applications. Electron. Lett. 2018, 54, 649–651. [Google Scholar] [CrossRef]
  24. Liu, Q.; Caldognetto, T.; Buso, S. Flexible Control of Interlinking Converters for DC Microgrids Coupled to Smart AC Power Systems. IEEE Trans. Ind. Electron. 2019, 66, 3477–3485. [Google Scholar] [CrossRef]
  25. Nalamati, C.; Agrawal, A.; Gupta, R. Multiple parallel-connected dab-based solid-state transformer for hybrid dc/ac micrognd system. IET Gener. Transm. Distrib. 2020, 14, 6359–6370. [Google Scholar] [CrossRef]
  26. Nie, J.; Yuan, L.; Wen, W.; Duan, R.; Shi, B.; Zhao, Z. Communication-Independent Power Balance Control for Solid State Transformer Interfaced Multiple Power Conversion Systems. IEEE Trans. Power Electron. 2020, 35, 4256–4271. [Google Scholar] [CrossRef]
  27. Sadeghi, M.; Khederzadeh, M. Hybrid multi-DC-AC MG based on multilevel interlinking converter. IET Power Electron. 2019, 12, 1187–1194. [Google Scholar] [CrossRef]
  28. Sowmmiya, U.; Govindarajan, U. Control and power transfer operation of WRIG-based WECS in a hybrid AC/DC microgrid. IET Renew. Power Gener. 2018, 12, 359–373. [Google Scholar] [CrossRef]
  29. Tricarico, T.; Gontijo, G.; Neves, M.; Soares, M.; Aredes, M.; Guerrero, J. Control design, stability analysis and experimental validation of new application of an interleaved converter operating as a power interface in hybrid microgrids. Energies 2019, 12, 437. [Google Scholar] [CrossRef]
  30. Tricarico, T.; Gontijo, G.; Aredes, M.; Dias, R.; Guerrero, J. New hybrid-microgrid topology using a bidirectional interleaved converter as a robust power interface operating in grid-connected and islanded modes. IET Renew. Power Gener. 2020, 14, 134–144. [Google Scholar] [CrossRef]
  31. Adineh, B.; Keypour, R.; Davari, P.; Blaabjerg, F. Review of Harmonic Mitigation Methods in Microgrid: From a Hierarchical Control Perspective. IEEE J. Emerg. Sel. Top. Power Electron. 2021, 9, 3044–3060. [Google Scholar] [CrossRef]
  32. Zhang, H.; Xiang, W.; Lin, W.; Wen, J. Grid Forming Converters in Renewable Energy Sources Dominated Power Grid: Control Strategy, Stability, Application, and Challenges. J. Mod. Power Syst. Clean Energy 2021, 9, 1239–1256. [Google Scholar] [CrossRef]
  33. Prompinit, K.; Khomfoi, S. A battery energy storage system control technique with ramp rate and C-rate parameter consideration for AC microgrid applications. Int. Rev. Electr. Eng. 2018, 13. [Google Scholar] [CrossRef]
  34. Combe, Q.; Abasian, A.; Pierfederici, S.; Weber, M.; Dufour, S. Control of a Three-Phase Current Source Rectifier for H2 Storage Applications in AC Microgrids. Energies 2022, 15, 2436. [Google Scholar] [CrossRef]
  35. Acevedo-Arenas, C.Y.; Correcher, A.; Sánchez-Díaz, C.; Ariza, E.; Alfonso-Solar, D.; Vargas-Salgado, C.; Petit-Suárez, J.F. MPC for optimal dispatch of an AC-linked hybrid PV/wind/biomass/H2 system incorporating demand response. Energy Convers. Manag. 2019, 186, 241–257. [Google Scholar] [CrossRef]
  36. Antunes, H.; Silva, S.; Brandao, D.; Machado, A.; Ferreira, R. A fault-tolerant grid-forming converter applied to AC microgrids. Int. J. Electr. Power Energy Syst. 2020, 121, 106072. [Google Scholar] [CrossRef]
  37. Barzegarkhoo, R.; Farhangi, M.; Lee, S.S.; Aguilera, R.P.; Siwakoti, Y.P.; Pou, J. Nine-Level Nine-Switch Common-Ground Switched-Capacitor Inverter Suitable for High-Frequency AC-Microgrid Applications. IEEE Trans. Power Electron. 2022, 37, 6132–6143. [Google Scholar] [CrossRef]
  38. Borrell, Á.; Velasco, M.; Miret, J.; Camacho, A.; Martí, P.; Castilla, M. Collaborative Voltage Unbalance Elimination in Grid-Connected AC Microgrids with Grid-Feeding Inverters. IEEE Trans. Power Electron. 2021, 36, 7189–7201. [Google Scholar] [CrossRef]
  39. Buduma, P.; Das, M.; Naayagi, R.; Mishra, S.; Panda, G. Seamless Operation of Master-Slave Organized AC Microgrid with Robust Control, Islanding Detection and Grid Synchronization. IEEE Trans. Ind. Appl. 2022, 58, 6724–6738. [Google Scholar] [CrossRef]
  40. Charalambous, A.; Hadjidemetriou, L.; Zacharia, L.; Bintoudi, A.; Tsolakis, A.; Tzovaras, D.; Kyriakides, E. Phase balancing and reactive power support services for microgrids. Appl. Sci. 2019, 9, 5067. [Google Scholar] [CrossRef]
  41. Chhor, J.; Sourkounis, C. Optimal voltage control strategy for grid-feeding power converters in AC microgrids. Electr. Power Syst. Res. 2019, 176, 105945. [Google Scholar] [CrossRef]
  42. Firuzi, M.F.; Roosta, A.; Gitizadeh, M. Stability analysis and decentralized control of inverter-based ac microgrid. Prot. Control Mod. Power Syst. 2019, 4, 6. [Google Scholar] [CrossRef]
  43. Campanhol, L.B.G.; Da Silva, S.A.O.; De Oliveira, A.A.; Bacon, V.D. Power Flow and Stability Analyses of a Multifunctional Distributed Generation System Integrating a Photovoltaic System with Unified Power Quality Conditioner. IEEE Trans. Power Electron. 2019, 34, 6241–6256. [Google Scholar] [CrossRef]
  44. Gil-González, W.; Montoya, O. Passivity-based PI control of a SMES system to support power in electrical grids: A bilinear approach. J. Energy Storage 2018, 18, 459–466. [Google Scholar] [CrossRef]
  45. Guo, Y.; Lu, X.; Chen, L.; Zheng, T.; Wang, J.; Mei, S. Functional-Rotation-Based Active Dampers in AC Microgrids with Multiple Parallel Interface Inverters. IEEE Trans. Ind. Appl. 2018, 54, 5206–5215. [Google Scholar] [CrossRef]
  46. Hou, X.; Sun, Y.; Lu, J.; Zhang, X.; Koh, L.H.; Su, M.; Guerrero, J.M. Distributed Hierarchical Control of AC Microgrid Operating in Grid-Connected, Islanded and Their Transition Modes. IEEE Access 2018, 6, 77388–77401. [Google Scholar] [CrossRef]
  47. Hussain, N.; Khayat, Y.; Golestan, S.; Nasir, M.; Vasquez, J.; Guerrero, J.; Kauhaniemi, K. Ac microgrids protection: A digital coordinated adaptive scheme. Appl. Sci. 2021, 11, 7066. [Google Scholar] [CrossRef]
  48. Issa, W.R.; Khateb, A.H.E.; Abusara, M.A.; Mallick, T.K. Control Strategy for Uninterrupted Microgrid Mode Transfer during Unintentional Islanding Scenarios. IEEE Trans. Ind. Electron. 2018, 65, 4831–4839. [Google Scholar] [CrossRef]
  49. Jarrahi, M.; Samet, H.; Ghanbari, T. Novel Change Detection and Fault Classification Scheme for AC Microgrids. IEEE Syst. J. 2020, 14, 3987–3998. [Google Scholar] [CrossRef]
  50. Jarwar, A.; Soomro, A.; Memon, Z.; Odhano, S.; Uqaili, M.; Larik, A. High dynamic performance power quality conditioner for AC microgrids. IET Power Electron. 2019, 12, 550–556. [Google Scholar] [CrossRef]
  51. Jumani, T.; Mustafa, M.; Rasid, M.; Memon, Z. Dynamic response enhancement of grid-tied ac microgrid using salp swarm optimization algorithm. Int. Trans. Electr. Energy Syst. 2020, 30, e12321. [Google Scholar] [CrossRef]
  52. Kaushal, J.; Basak, P. A Novel Approach for Determination of Power Quality Monitoring Index of an AC Microgrid Using Fuzzy Inference System. Iran. J. Sci. Technol.-Trans. Electr. Eng. 2018, 42, 429–450. [Google Scholar] [CrossRef]
  53. Kulkarni, S.; Gaonkar, D. Improved droop control strategy for parallel connected power electronic converter based distributed generation sources in an Islanded Microgrid. Electr. Power Syst. Res. 2021, 201, 107531. [Google Scholar] [CrossRef]
  54. Li, H.; Li, S.; Lu, J.; Qu, Y.; Guo, C. A Novel Strategy Based on Linear Active Disturbance Rejection Control for Harmonic Detection and Compensation in Low Voltage AC Microgrid. Energies 2019, 12, 3982. [Google Scholar] [CrossRef]
  55. Lim, J.U.; Kwon, I.S.; Kim, H.W.; Cho, K.Y. Seamless transfer algorithm of AC microgrid inverter compensating load current for weak grid. Energies 2019, 12, 728. [Google Scholar] [CrossRef]
  56. Ma, W.; Ouyang, S. Control strategy for inverters in microgrid based on repetitive and state feedback control. Int. J. Electr. Power Energy Syst. 2019, 111, 447–458. [Google Scholar] [CrossRef]
  57. Naderi, Y.; Hosseini, S.; Zadeh, S.; Mohammadi-Ivatloo, B.; Savaghebi, M.; Guerrero, J. An optimized direct control method applied to multilevel inverter for microgrid power quality enhancement. Int. J. Electr. Power Energy Syst. 2019, 107, 496–506. [Google Scholar] [CrossRef]
  58. Neves, R.V.A.; Machado, R.Q.; Oliveira, V.A.; Wang, X.; Blaabjerg, F. Multitask Fuzzy Secondary Controller for AC Microgrid Operating in Stand-Alone and Grid-Tied Mode. IEEE Trans. Smart Grid 2019, 10, 5640–5649. [Google Scholar] [CrossRef]
  59. Panjaitan, S.D.; Kurnianto, R.; Sanjaya, B.W. Flexible Power-Sharing Control for Inverters-Based Microgrid Systems. IEEE Access 2020, 8, 177984–177994. [Google Scholar] [CrossRef]
  60. Pérez-Ibacache, R.; Yazdani, A.; Silva, C.; Agüero, J. Decentralized Unified Control for Inverter-Based AC Microgrids Subject to Voltage Constraints. IEEE Access 2019, 7, 157318–157329. [Google Scholar] [CrossRef]
  61. Sharma, R.; Kewat, S.; Singh, B. Robust 3IMPL control algorithm for power management of SyRG/PV/BES-Based distributed islanded microgrid. IEEE Trans. Ind. Electron. 2019, 66, 7765–7777. [Google Scholar] [CrossRef]
  62. Vilaisarn, Y.; Moradzadeh, M.; Abdelaziz, M.; Cros, J. An MILP formulation for the optimum operation of AC microgrids with hierarchical control. Int. J. Electr. Power Energy Syst. 2022, 137, 107674. [Google Scholar] [CrossRef]
  63. Wang, M.H.; Yang, T.B.; Tan, S.C.; Hui, S. Hybrid Electric Springs for Grid-Tied Power Control and Storage Reduction in AC Microgrids. IEEE Trans. Power Electron. 2019, 34, 3214–3225. [Google Scholar] [CrossRef]
  64. Wang, M.H.; He, Y.; Jia, Y.; Xu, Z. A Power-Decoupled Current-Source Inverter for PV Energy Harvest and Grid Voltage Regulation. IEEE Trans. Ind. Electron. 2021, 68, 9540–9549. [Google Scholar] [CrossRef]
  65. Yuan, W.; Wang, Y.; Liu, D.; Deng, F.; Chen, Z. Efficiency-Prioritized Droop Control Strategy of AC Microgrid. IEEE J. Emerg. Sel. Top. Power Electron. 2021, 9, 2936–2950. [Google Scholar] [CrossRef]
  66. Zhang, H.; Ke, C.; Zhi, N.; Cheng, Y. Compound control method for overcoming transmission delay impact on networked control inverter for AC microgrid. J. Intell. Fuzzy Syst. 2020, 38, 7875–7892. [Google Scholar] [CrossRef]
  67. Zheng, X.; Zeng, Y.; Zhao, M.; Venkatesh, B. Early Identification and Location of Short-Circuit Fault in Grid-Connected AC Microgrid. IEEE Trans. Smart Grid 2021, 12, 2869–2878. [Google Scholar] [CrossRef]
  68. Zheng, C.; Dragičević, T.; Blaabjerg, F. Model Predictive Control-Based Virtual Inertia Emulator for an Islanded Alternating Current Microgrid. IEEE Trans. Ind. Electron. 2021, 68, 7167–7177. [Google Scholar] [CrossRef]
  69. Abhinav, S.; Schizas, I.; Lewis, F.; Davoudi, A. Distributed noise-resilient networked synchrony of active distribution systems. IEEE Trans. Smart Grid 2018, 9, 836–846. [Google Scholar] [CrossRef]
  70. Alam, M. Overcurrent protection of AC microgrids using mixed characteristic curves of relays. Comput. Electr. Eng. 2019, 74, 74–88. [Google Scholar] [CrossRef]
  71. Alfergani, A.; Khalil, A.; Rajab, Z. Networked control of AC microgrid. Sustain. Cities Soc. 2018, 37, 371–387. [Google Scholar] [CrossRef]
  72. Ali, S.; Aamir, M.; Jafri, A.; Subramaniam, U.; Haroon, F.; Waqar, A.; Yaseen, M. Model predictive control—Based distributed control algorithm for bidirectional interlinking converter in hybrid microgrids. Int. Trans. Electr. Energy Syst. 2021, 31, e12817. [Google Scholar] [CrossRef]
  73. Aref, M.; Mossa, M.; Lan, N.; Quynh, N.; Oboskalov, V.; Ali, A. Improvement of Fault Current Calculation and Static Security Risk for Droop Control of the Inverter-Interfaced DG of Grid-Connected and Isolated Microgrids. Inventions 2022, 7, 52. [Google Scholar] [CrossRef]
  74. Cai, H.; Hu, G. Distributed Nonlinear Hierarchical Control of AC Microgrid via Unreliable Communication. IEEE Trans. Smart Grid 2018, 9, 2429–2441. [Google Scholar] [CrossRef]
  75. Cai, H.; Hu, G. Distributed Robust Hierarchical Power Sharing Control of Grid-Connected Spatially Concentrated AC Microgrid. IEEE Trans. Control Syst. Technol. 2019, 27, 1012–1022. [Google Scholar] [CrossRef]
  76. Cai, C.; Liu, H.; Tao, Y.; Deng, Z.; Dai, W.; Chen, J. Microgrid Equivalent Modeling Based on Long Short-Term Memory Neural Network. IEEE Access 2020, 8, 23120–23133. [Google Scholar] [CrossRef]
  77. Cao, W.; Ma, Y.; Wang, F.; Tolbert, L.; Xue, Y. Low-Frequency Stability Analysis of Inverter-Based Islanded Multiple-Bus AC Microgrids Based on Terminal Characteristics. IEEE Trans. Smart Grid 2020, 11, 3662–3676. [Google Scholar] [CrossRef]
  78. Dutta, R.; Samantaray, S. Assessment of impedance based fault locator for AC micro-grid. Renew. Energy Focus 2018, 26, 1–10. [Google Scholar] [CrossRef]
  79. Eyisi, C.; Li, Q. Load sharing scheme incorporating power security margins for parallel operation of voltage source inverters. Energies 2021, 14, 5825. [Google Scholar] [CrossRef]
  80. Gupta, S.; Maulik, A.; Das, D.; Singh, A. Coordinated stochastic optimal energy management of grid-connected microgrids considering demand response, plug-in hybrid electric vehicles, and smart transformers. Renew. Sustain. Energy Rev. 2022, 155, 111861. [Google Scholar] [CrossRef]
  81. Habibi, S.; Bidram, A. Unfalsified Switching Adaptive Voltage Control for Islanded Microgrids. IEEE Trans. Power Syst. 2022, 37, 3394–3407. [Google Scholar] [CrossRef]
  82. Islam, M.; Yang, F.; Ekanayek, C.; Amin, M. Grid power fluctuation reduction by fuzzy control based energy management system in residential microgrids. Int. Trans. Electr. Energy Syst. 2019, 29, e2758. [Google Scholar] [CrossRef]
  83. Iyakaremye, J.D.D.; Nyakoe, G.N.; Wekesa, C.W. MPC-Based Arctan Droop Control Strategy of the Parallel Inverter System in an Islanded AC Microgrid. J. Eng. 2021, 2021, 1870590. [Google Scholar] [CrossRef]
  84. Jayachandran, M.; Ravi, G. Predictive power management strategy for PV/battery hybrid unit based islanded AC microgrid. Int. J. Electr. Power Energy Syst. 2019, 110, 487–496. [Google Scholar] [CrossRef]
  85. John, B.; Ghosh, A.; Goyal, M.; Zare, F. A DC Power Exchange Highway Based Power Flow Management for Interconnected Microgrid Clusters. IEEE Syst. J. 2019, 13, 3347–3357. [Google Scholar] [CrossRef]
  86. Kabalan, M.; Singh, P.; Niebur, D. A Design and Optimization Tool for Inverter-Based Microgrids Using Large-Signal Nonlinear Analysis. IEEE Trans. Smart Grid 2019, 10, 4566–4576. [Google Scholar] [CrossRef]
  87. Kryonidis, G.; Kontis, E.; Chrysochos, A.; Oureilidis, K.; Demoulias, C.; Papagiannis, G. Power Flow of Islanded AC Microgrids: Revisited. IEEE Trans. Smart Grid 2018, 9, 3903–3905. [Google Scholar] [CrossRef]
  88. Lenz, E.; Pagano, D.J.; Pou, J. Bifurcation Analysis of Parallel-Connected Voltage-Source Inverters with Constant Power Loads. IEEE Trans. Smart Grid 2018, 9, 5482–5493. [Google Scholar] [CrossRef]
  89. Memon, A.; Kauhaniemi, K. An adaptive protection for radial AC microgrid using IEC 61850 communication standard: Algorithm proposal using offline simulations. Energies 2020, 13, 5316. [Google Scholar] [CrossRef]
  90. Mohammadi, J.; Ajaei, F.B.; Stevens, G. Grounding the AC microgrid. IEEE Trans. Ind. Appl. 2019, 55, 98–105. [Google Scholar] [CrossRef]
  91. Mohammadshahi, S.; Boulaire, F.; Love, J.; Gorji, S.; Mackinnon, I. A flexible analytical model for operational investigation of solar hydrogen plants. Int. J. Hydrogen Energy 2022, 47, 782–808. [Google Scholar] [CrossRef]
  92. Moreira, A.; Paredes, H.; Souza, W.D.; Marafao, F.; Silva, L.D. Intelligent expert system for power quality improvement under distorted and unbalanced conditions in three-phase AC microgrids. IEEE Trans. Smart Grid 2018, 9, 6951–6960. [Google Scholar] [CrossRef]
  93. Nayak, A.; Maulik, A.; Das, D. An integrated optimal operating strategy for a grid-connected AC microgrid under load and renewable generation uncertainty considering demand response. Sustain. Energy Technol. Assessments 2021, 45, 101169. [Google Scholar] [CrossRef]
  94. Perez-Ibacache, R.; Cedeno, A.; Silva, C.; Carvajal, G.; Aguero, J.; Yazdani, A. Decentralized Model-Based Predictive Control for der Units Integration in AC Microgrids Subject to Operational and Safety Constraints. IEEE Trans. Power Deliv. 2021, 36, 2479–2489. [Google Scholar] [CrossRef]
  95. Rahman, A.; Syed, I.; Ullah, M. Small signal stability of a balanced three-phase AC microgrid using harmonic linearization: Parametric-based analysis. Electronics 2019, 8, 12. [Google Scholar] [CrossRef]
  96. Saldarriaga-Zuluaga, S.; López-Lezama, J.; Muñoz-Galeano, N. Adaptive protection coordination scheme in microgrids using directional over-current relays with non-standard characteristics. Heliyon 2021, 7, e06665. [Google Scholar] [CrossRef]
  97. Shaker, Y.; Yousri, D.; Osama, A.; Al-Gindy, A.; Tag-Eldin, E.; Allam, D. Optimal Charging/Discharging Decision of Energy Storage Community in Grid-Connected Microgrid Using Multi-Objective Hunger Game Search Optimizer. IEEE Access 2021, 9, 120774–120794. [Google Scholar] [CrossRef]
  98. Soundarya, G.; Sitharthan, R.; Sundarabalan, C.K.; Balasundar, C.; Karthikaikannan, D.; Sharma, J. Design and Modeling of Hybrid DC/AC Microgrid with Manifold Renewable Energy Sources. IEEE Can. J. Electr. Comput. Eng. 2021, 44, 130–135. [Google Scholar] [CrossRef]
  99. Srivastava, A.; Parida, S. Data driven approach for fault detection and Gaussian process regression based location prognosis in smart AC microgrid. Electr. Power Syst. Res. 2022, 208, 107889. [Google Scholar] [CrossRef]
  100. Torabi-Farsani, K.; Vafamand, N.; Razavi-Far, R.; Saif, M. Secure Frequency Regulation of Electric Vehicle-connected Microgrid System under Multiple Latency Attacks. Comput. Electr. Eng. 2022, 101, 108008. [Google Scholar] [CrossRef]
  101. Yang, T.; He, Y.; Liu, G.P. Distributed Voltage Restoration of AC Microgrids Under Communication Delays: A Predictive Control Perspective. IEEE Trans. Circuits Syst. I Regul. Pap. 2022, 69, 2614–2624. [Google Scholar] [CrossRef]
  102. Zholbaryssov, M.; Fooladivanda, D.; Domínguez-García, A. Resilient distributed optimal generation dispatch for lossy AC microgrids. Syst. Control Lett. 2019, 123, 47–54. [Google Scholar] [CrossRef]
  103. Zhang, Y.; Wei, W. Decentralised coordination control strategy of the PV generator, storage battery and hydrogen production unit in islanded AC microgrid. IET Renew. Power Gener. 2020, 14, 1053–1062. [Google Scholar] [CrossRef]
  104. Zolfaghari, M.; Abedi, M.; Gharehpetian, G.B. Power Flow Control of Interconnected AC–DC Microgrids in Grid-Connected Hybrid Microgrids Using Modified UIPC. IEEE Trans. Smart Grid 2019, 10, 6298–6307. [Google Scholar] [CrossRef]
  105. Zolfaghari, M.; Abedi, M.; Gharehpetian, G.B. Robust Nonlinear State Feedback Control of Bidirectional Interlink Power Converters in Grid-Connected Hybrid Microgrids. IEEE Syst. J. 2020, 14, 1117–1124. [Google Scholar] [CrossRef]
  106. Zolfaghari, M.; Abedi, M.; Gharehpetian, G.B.; Guerrero, J.M. Flatness-Based Decentralized Control of Bidirectional Interlink Power Converters in Grid-Connected Hybrid Microgrids Using Adaptive High-Gain PI-Observer. IEEE Syst. J. 2021, 15, 478–486. [Google Scholar] [CrossRef]
  107. Ahmad, S.; Mekhilef, S.; Mokhlis, H.; Karimi, M.; Pourdaryaei, A.; Ahmed, T.; Jhuma, U.; Afzal, S. Fuzzy logic-based direct power control method for pv inverter of grid-tied ac microgrid without phase-locked loop. Electronics 2021, 10, 3095. [Google Scholar] [CrossRef]
  108. Amirkhan, S.; Radmehr, M.; Rezanejad, M.; Khormali, S. A robust control technique for stable operation of a DC/AC hybrid microgrid under parameters and loads variations. Int. J. Electr. Power Energy Syst. 2020, 117, 105659. [Google Scholar] [CrossRef]
  109. Anand, A.; Affijulla, S. Ensemble empirical mode decomposition based differential protection scheme for islanded and grid-tied AC microgrid. IET Gener. Transm. Distrib. 2020, 14, 6674–6681. [Google Scholar] [CrossRef]
  110. Antunes, H.; Silva, S.; Brandao, D.; Machado, A.; Filho, B. A new multifunctional converter based on a series compensator applied to AC microgrids. Int. J. Electr. Power Energy Syst. 2018, 102, 160–170. [Google Scholar] [CrossRef]
  111. Aragon, C.A.; Guzman, R.; de Vicuña, L.G.; Miret, J.; Castilla, M. Constrained Predictive Control Based on a Large-Signal Model for a Three-Phase Inverter Connected to a Microgrid. IEEE Trans. Ind. Electron. 2022, 69, 6497–6507. [Google Scholar] [CrossRef]
  112. Awad, H.; Bayoumi, E.; Soliman, H.; Santis, M.D. Robust tracker of hybrid microgrids by the invariant-ellipsoid set. Electronics 2021, 10, 1794. [Google Scholar] [CrossRef]
  113. Barr, N.; Li, S.; Fu, X. Control of grid-connected inverters for circulating current suppression using artificial neural network and conventional control methods. Int. Trans. Electr. Energy Syst. 2021, 31. [Google Scholar] [CrossRef]
  114. Chakraborty, S.; Das, S. Communication-less protection scheme for AC microgrids using hybrid tripping characteristic. Electr. Power Syst. Res. 2020, 187, 106453. [Google Scholar] [CrossRef]
  115. Deng, F.; Yao, W.; Zhang, X.; Mattavelli, P. A Decentralized Current Sharing Strategy for Islanded Resistive Microgrids Based on Iterative Virtual Impedance Regulation. IEEE Trans. Ind. Inform. 2022, 18, 3958–3969. [Google Scholar] [CrossRef]
  116. Dheer, D.K.; Vijay, A.S.; Kulkarni, O.V.; Doolla, S. Improvement of Stability Margin of Droop-Based Islanded Microgrids by Cascading of Lead Compensators. IEEE Trans. Ind. Appl. 2019, 55, 3241–3251. [Google Scholar] [CrossRef]
  117. Dong, M.; Li, L.; Wang, L.; Song, D.; Liu, Z.; Tian, X.; Li, Z.; Wang, Y. A distributed secondary control algorithm for automatic generation control considering EDP and automatic voltage control in an AC microgrid. Energies 2018, 11, 932. [Google Scholar] [CrossRef]
  118. Ebrahim, M.A.; Ayoub, B.A.A.; Nashed, M.N.F.; Osman, F.A.M. A Novel Hybrid-HHOPSO Algorithm Based Optimal Compensators of Four-Layer Cascaded Control for a New Structurally Modified AC Microgrid. IEEE Access 2021, 9, 4008–4037. [Google Scholar] [CrossRef]
  119. Ebrahim, M.; Aziz, B.; Nashed, M.; Osman, F. Optimal design of controllers and harmonic compensators for three-level cascaded control in stationary reference frame for grid-supporting inverters-based AC microgrid. Energy Rep. 2022, 8, 860–877. [Google Scholar] [CrossRef]
  120. Heredero-Peris, D.; Chillón-Antón, C.; Pagès-Giménez, M.; Montesinos-Miracle, D.; Santamaría, M.; Rivas, D.; Aguado, M. An enhancing fault current limitation hybrid droop/V-f control for grid-tied four-wire inverters in AC microgrids. Appl. Sci. 2018, 8, 1725. [Google Scholar] [CrossRef]
  121. Jmii, H.; Abbes, M.; Meddeb, A.; Chebbi, S. Centralized VSM control of an AC meshed microgrid for ancillary services provision. Int. J. Electr. Power Energy Syst. 2020, 115, 105450. [Google Scholar] [CrossRef]
  122. Kumar, A.; Jha, B.K.; Dheer, D.K.; Singh, D.; Misra, R.K. Nested backward/forward sweep algorithm for power flow analysis of droop regulated islanded microgrids. IET Gener. Transm. Distrib. 2019, 13, 3086–3095. [Google Scholar] [CrossRef]
  123. Lenz, E.; Pagano, D.J.; Ruseler, A.; Heldwein, M.L. Two-Parameter Stability Analysis of Resistive Droop Control Applied to Parallel-Connected Voltage-Source Inverters. IEEE J. Emerg. Sel. Top. Power Electron. 2020, 8, 3318–3332. [Google Scholar] [CrossRef]
  124. Li, T.; Su, C.; Zhang, Y. Multi-source residual capacity collaborative dynamic compensation strategy based on robust residual generator. Energy Rep. 2021, 7, 3318–3332. [Google Scholar] [CrossRef]
  125. Mahmud, K.; Sahoo, A.; Ravishankar, J.; Dong, Z. Coordinated Multilayer Control for Energy Management of Grid-Connected AC Microgrids. IEEE Trans. Ind. Appl. 2019, 55, 535–548. [Google Scholar] [CrossRef]
  126. Mi, Y.; Yan, L.; Cai, H.; Fu, Y.; Tian, S.; Jin, C. Reactive power sharing control for islanded AC microgrid based on fuzzy adaptive compensation method. IET Gener. Transm. Distrib. 2020, 14, 585–593. [Google Scholar] [CrossRef]
  127. Patankar, P.P.; Munshi, M.M.; Deshmukh, R.R.; Ballal, M.S. A Modified Control Method for Grid Connected Multiple Rooftop Solar Power Plants. IEEE Trans. Ind. Appl. 2021, 57, 3306–3316. [Google Scholar] [CrossRef]
  128. Pompodakis, E.; Kryonidis, G.; Demoulias, C.; Alexiadis, M. A Generic Power Flow Algorithm for Unbalanced Islanded Hybrid AC/DC Microgrids. IEEE Trans. Power Syst. 2021, 36, 1107–1120. [Google Scholar] [CrossRef]
  129. Souraki, H.P.; Radmehr, M.; Rezanejad, M. Distributed energy storage system-based control strategy for hybrid DC/AC microgrids in grid-connected mode. Int. J. Energy Res. 2019, 43, 6283–6295. [Google Scholar] [CrossRef]
  130. souraki, H.P.; Radmehr, M.; Rezanejad, M. Lypunov theory combined with small signal linearization for regulated operation of a hybrid DC/AC microgrid. Int. Trans. Electr. Energy Syst. 2020, 30. [Google Scholar] [CrossRef]
  131. Roncero-Clemente, C.; Gonzalez-Romera, E.; Barrero-González, F.; Milanés-Montero, M.I.; Romero-Cadaval, E. Power-Flow-Based Secondary Control for Autonomous Droop-Controlled AC Nanogrids with Peer-to-Peer Energy Trading. IEEE Access 2021, 9, 22339–22350. [Google Scholar] [CrossRef]
  132. Sahu, P.; Mishra, S.; Prusty, R.; Panda, S. Improved -salp swarm optimized type-II fuzzy controller in load frequency control of multi area islanded AC microgrid. Sustain. Energy, Grids Netw. 2018, 16, 380–392. [Google Scholar] [CrossRef]
  133. Serrano-Fontova, A.; Azab, M. Development and performance analysis of a multi-functional algorithm for AC microgrids: Simultaneous power sharing, voltage support and islanding detection. Int. J. Electr. Power Energy Syst. 2022, 135, 107341. [Google Scholar] [CrossRef]
  134. Sreelekshmi, R.; Lakshmi, R.; Nair, M. AC microgrid with battery energy storage management under grid connected and islanded modes of operation. Energy Rep. 2022, 8, 350–357. [Google Scholar] [CrossRef]
  135. Talapur, G.; Suryawanshi, H. A modified control scheme for power management in an AC microgrid with integration of multiple nanogrids. Electronics 2019, 8, 490. [Google Scholar] [CrossRef]
  136. Tang, X.; Zhang, D.; Xiao, D.; Li, M. Modeling and Stability Analysis of a Novel Voltage-Oriented Power Coordination Controlled Constant-Frequency AC Microgrid System. Electronics 2021, 10, 1935. [Google Scholar] [CrossRef]
  137. Holari, Y.T.; Taher, S.; Mehrasa, M. Distributed energy storage system-based nonlinear control strategy for hybrid microgrid power management included wind/PV units in grid-connected operation. Int. Trans. Electr. Energy Syst. 2020, 30, e12237. [Google Scholar] [CrossRef]
  138. Xie, B.; Liu, Y.; Ji, Y.; Wang, J. Two-stage battery energy storage system (BESS) in AC microgrids with balanced state-of-charge and guaranteed small-signal stability. Energies 2018, 11, 322. [Google Scholar] [CrossRef]
  139. IEEE Std 1547-2018; IEEE Standard for Interconnection and Interoperability of Distributed Energy Resources with Associated Electric Power Systems Interfaces. (Revision of IEEE Std 1547-2003). IEEE Standards Association: Piscataway, NJ, USA, 2018; pp. 1–138. [CrossRef]
  140. IEEE Std 519-2014; IEEE Recommended Practice and Requirements for Harmonic Control in Electric Power Systems. (Revision of IEEE Std 519-1992). IEEE Standards Association: Piscataway, NJ, USA, 2014; pp. 1–29. [CrossRef]
  141. EN 50160; Voltage Characteristics of Electricity Supplied by Public Electricity Networks. CENELEC (European Committee for Electrotechnical Standardization): Brussels, Belgium, 2022; pp. 1–34. [CrossRef]
  142. IEEE Std C37.118.1-2011; IEEE Standard for Synchrophasor Measurements for Power Systems. (Revision of IEEE Std C37.118-2005). IEEE Standards Association: Piscataway, NJ, USA, 2011; pp. 1–61. [CrossRef]
  143. IEEE Std 1159-1995; IEEE Recommended Practice for Monitoring Electric Power Quality. IEEE Standards Association: Piscataway, NJ, USA, 1995; pp. 1–80. [CrossRef]
  144. IEEE Std 2030.7-2017; IEEE Standard for the Specification of Microgrid Controllers. IEEE Standards Association: Piscataway, NJ, USA, 2018; pp. 1–43. [CrossRef]
  145. IEEE Std 1459-2010; IEEE Standard Definitions for the Measurement of Electric Power Quantities Under Sinusoidal, Nonsinusoidal, Balanced, or Unbalanced Conditions. (Revision of IEEE Std 1459-2000). IEEE Standards Association: Piscataway, NJ, USA, 2010; pp. 1–50. [CrossRef]
  146. IEC 61000-2-2:2002; Electromagnetic compatibility (EMC)—Part 2-2: Environment—Compatibility Levels for Low-Frequency Conducted Disturbances and Signalling in Public Low-Voltage Power Supply Systems. IEC (International Electrotechnical Commission): Geneva, Switzerland, 2002; pp. 1–57. Available online: https://webstore.iec.ch/en/publication/4133 (accessed on 21 May 2024).
  147. IEC 61000-3-2:2000; Electromagnetic Compatibility (EMC)—Part 3-2: Limits—Limits for Harmonic Current Emissions (Equipment Input Current <= 16 A per Phase). IEC (International Electrotechnical Commission): Geneva, Switzerland, 2000; pp. 1–55. Available online: https://webstore.iec.ch/en/publication/18724 (accessed on 21 May 2024).
  148. IEC 61727:2004; Photovoltaic (PV) Systems—Characteristics of the Utility Interface. IEC (International Electrotechnical Commission): Geneva, Switzerland, 2004; pp. 1–23. Available online: https://webstore.iec.ch/en/publication/5736 (accessed on 21 May 2024).
  149. IEC 60831-1:2014; Shunt Power Capacitors of the Self-Healing Type for a.c. Systems Having a Rated Voltage Up to and Including 1000 V—Part 1: General—Performance, Testing and Rating—Safety Requirements—Guide for Installation and Operation. IEC (International Electrotechnical Commission): Geneva, Switzerland, 2014; pp. 1–73. Available online: https://webstore.iec.ch/en/publication/22263 (accessed on 21 May 2024).
  150. IEC 60831-2:2014; Shunt Power Capacitors of the Self-Healing Type for a.c. Systems Having a Rated Voltage Up to and Including 000 V—Part 2: Ageing Test, Self-Healing Test and Destruction Test. IEC (International Electrotechnical Commission): Geneva, Switzerland, 2014; pp. 1–22. Available online: https://webstore.iec.ch/en/publication/3610 (accessed on 21 May 2024).
  151. IEC 60255-1:2022; Measuring Relays and Protection Equipment—Part 1: Common Requirements. IEC (International Electrotechnical Commission): Geneva, Switzerland, 2022; pp. 1–92. Available online: https://webstore.iec.ch/en/publication/59762 (accessed on 21 May 2024).
  152. IEC 61850-3:2013; Communication Networks and Systems for Power Utility Automation—Part 3: General Requirements. IEC (International Electrotechnical Commission): Geneva, Switzerland, 2013; pp. 1–136. Available online: https://webstore.iec.ch/en/publication/6010 (accessed on 21 May 2024).
  153. IEC 62040-1:2017; Uninterruptible Power Systems (UPS)—Part 2: Electromagnetic Compatibility (EMC) Requirements. IEC (International Electrotechnical Commission): Geneva, Switzerland, 2017; pp. 1–146. Available online: https://webstore.iec.ch/en/publication/31983 (accessed on 21 May 2024).
  154. VDE VERLAG. DIN VDE V 0126-1-1 VDE V 0126-1-1:2013-08. Automatic Disconnection Device between a Generator and the Public Low-Voltage Grid. 2013. Available online: https://www.vde-verlag.de/standards/0100178/din-vde-v-0126-1-1-vde-v-0126-1-1-2013-08.html (accessed on 21 May 2024).
  155. Ogg, F. Pico, Nano, Micro, Minigrids. 2015. Available online: https://www.researchgate.net/publication/282947314_Pico_nano_micro_minigrids (accessed on 21 May 2024).
  156. IRENA. Renewable Power Generation Costs in 2022. International Renewable Energy Agency, Abu Dhabi. 2023. Available online: https://www.irena.org/Publications/2023/Aug/Renewable-Power-Generation-Costs-in-2022 (accessed on 21 May 2024).
  157. IREC. IEEE 1547-2018 Adoption Tracker-Interstate Renewable Energy Council (IREC). Available online: https://irecusa.org/resources/ieee-1547-2018-adoption-tracker/ (accessed on 3 June 2024).
  158. IEC 61000-4-15:2010 RLV; Electromagnetic Compatibility (EMC)—Part 4-15: Testing and Measurement Techniques—Flickermeter—Functional and Design Specifications. IEC (International Electrotechnical Commission): Geneva, Switzerland, 2010; pp. 1–190. Available online: https://webstore.iec.ch/en/publication/22269 (accessed on 3 June 2024).
  159. Barnes, M.; Kondoh, J.; Asano, H.; Oyarzabal, J.; Ventakaramanan, G.; Lasseter, R.; Hatziargyriou, N.; Green, T. Real-World MicroGrids-An Overview. In Proceedings of the 2007 IEEE International Conference on System of Systems Engineering, San Antonio, TX, USA, 16–18 April 2007; pp. 1–8. [Google Scholar] [CrossRef]
  160. Panora, R.; Gehret, J.E.; Furse, M.M.; Lasseter, R.H. Real-World Performance of a CERTS Microgrid in Manhattan. IEEE Trans. Sustain. Energy 2014, 5, 1356–1360. [Google Scholar] [CrossRef]
  161. Zhang, X.; Zhang, Y.; Li, R. Distributed Event-Triggered Control for Power Sharing in Grid-Connected AC Microgrid. IEEE Trans. Power Syst. 2024, 39, 770–778. [Google Scholar] [CrossRef]
  162. Arora, A.; Bhadu, M.; Kumar, A. Simultaneous Damping and Frequency Control in AC Microgrid Using Coordinated Control Considering Time Delay and Noise. Trans. Inst. Meas. Control 2024, 01423312241230735. [Google Scholar] [CrossRef]
  163. Kumar, A.; Bhadu, M.; Arabi, A.I.A.; Kamangar, S.; Bhutto, J.K.; Ali, M.A.; Kumar, S. Optimized robust control for improving frequency response of delay dependent AC microgrid with uncertainties. Electr. Power Syst. Res. 2024, 229, 110138. [Google Scholar] [CrossRef]
  164. Rafia, A.N.A.; Jayaprakash, R. Fractional Order Controller For Power Control in AC Islanded PV Microgrid using Electric Vehicles. Recent Adv. Electr. Electron. Eng. 2024, 17, 137–146. [Google Scholar] [CrossRef]
  165. Li, G.; Hu, T.; Liu, X. A Quasi-Disturbance Current-Based Droop Control Strategy for Enhancing Voltage Robustness of Islanded AC Microgrid. IEEE Trans. Ind. Inform. 2024, 1–11. [Google Scholar] [CrossRef]
  166. Jain, S.K.; Agrawal, S. Robust control of frequency considering operations of AC microgrid in islanded mode. Int. J. Eng. Syst. Model. Simul. 2024, 15, 1–10. [Google Scholar] [CrossRef]
  167. Kiani, S.; Salmanpour, A.; Hamzeh, M.; Kebriaei, H. Learning Robust Model Predictive Control for Voltage Control of Islanded Microgrid. IEEE Trans. Autom. Sci. Eng. 2024, 1–12. [Google Scholar] [CrossRef]
  168. Ding, K.; Zhu, Q.; Huang, T. Partial-Information-Based Non-Fragile Intermittent Estimator for Microgrids with Semi-Aperiodic DoS Attacks: Gain Stochastic Float. IEEE Trans. Power Syst. 2024, 39, 2271–2283. [Google Scholar] [CrossRef]
  169. Mahvash, H.; Taher, S.A.; Guerrero, J.M. Mitigation of severe false data injection attacks (FDIAs) in marine current turbine (MCT) type 4 synchronous generator renewable energy using promoted backstepping method. Renew. Energy 2024, 222, 120008. [Google Scholar] [CrossRef]
  170. Kharchouf, I.; Mohammed, O.A. Controller Hardware-in-the-Loop Testbed of a Distributed Consensus Multi-Agent System Control under Deception and Disruption Cyber-Attacks. Energies 2024, 17, 1669. [Google Scholar] [CrossRef]
  171. Akarne, Y.; Essadki, A.; Nasser, T.; Bhiri, B.E. Experimental Analysis of Efficient Dual-Layer Energy Management and Power Control in an AC Microgrid System. IEEE Access 2024, 12, 30577–30592. [Google Scholar] [CrossRef]
Figure 1. Selection process.
Figure 1. Selection process.
Designs 08 00077 g001
Figure 2. Evolution of the number of sources of DG included in the literature over five years (RQ1). We can see a decline in research on the topic after the peak in 2019. Numbers show that photovoltaic (PV) systems are the most popular DG source. The data also reflect that energy storage systems (ESSs) are one of the most popular topics, given the problem of the variability of renewable energy sources (RESs). Sometimes, this variability is compensated for with other sources of energy, such as diesel or biomass, and, of course, the main grid supply. Nevertheless, most of the works do not care about the energy source and use a generic DC voltage to feed the inverters, given that they work on another issue such as a control scheme, a power converter, or solving an optimization problem.
Figure 2. Evolution of the number of sources of DG included in the literature over five years (RQ1). We can see a decline in research on the topic after the peak in 2019. Numbers show that photovoltaic (PV) systems are the most popular DG source. The data also reflect that energy storage systems (ESSs) are one of the most popular topics, given the problem of the variability of renewable energy sources (RESs). Sometimes, this variability is compensated for with other sources of energy, such as diesel or biomass, and, of course, the main grid supply. Nevertheless, most of the works do not care about the energy source and use a generic DC voltage to feed the inverters, given that they work on another issue such as a control scheme, a power converter, or solving an optimization problem.
Designs 08 00077 g002
Table 1. Quality evaluation criteria.
Table 1. Quality evaluation criteria.
Paper Weight
Title<15 words3
 Keywords in the title3
AbstractPresents a logic structure3
IntroductionContext3
 Implicit or explicit hypothesis3
 Problem3
 Explicit objective3
Theoretical frameworkState-of-the-art in a logical order3
Appropriate content3
Detailed methodology3
ResultsAvailable data3
 Results match objectives3
 Shows results with standardized metrics3
 Information in figures complements the text3
DiscussionFindings related to the objectives3
 Results are compared to those from the state-of-the-art3
ConclusionsCorrespond to the objectives3
 Show future work3
ReferencesReferences match3
 Complete references3
EC4Includes a grid-tied MG14
Real or experimental application13
Answer three or more research questions13
Total100
Table 2. Included and excluded works.
Table 2. Included and excluded works.
Articles
Included [35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68]
Excluded—reviews [31,32]
Excluded—no pure AC [17,18,19,20,21,22,23,24,25,26,27,28,29,30]
Excluded—EC4 [33,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106]
Excluded—<80 [34,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138]
Table 3. AC bus scheme in the included works (RQ1).
Table 3. AC bus scheme in the included works (RQ1).
20182019202020212022Sum
LV 1- ϕ HF [37]1
LV 1- ϕ [52] [35,57,63] [59] [64] 6
LV 3- ϕ [44,45,46,48] [40,41,42,43,50,54,55,56,61] [36,66] [38,47,53,65,67,68] [39,62]23
MV 3- ϕ [60] [49,51] 3
Sum51357333
Table 4. Standards for microgrids (RQ2).
Table 4. Standards for microgrids (RQ2).
StandardNameMentioned by
IEEE Standard 1547-2018 [139]Standard for interconnection and interoperability of distributed energy resources with associated electric power system interfaces [17,44,51,58,59,60]
IEEE Standard 519-2014 [140]IEEE recommended practices and requirements for harmonic control in electric power systems [39,52,57,61]
EN-50160 [141]Voltage characteristics of electricity supplied by public electricity networks[38,50]
IEEE Std C37.118.1 [142]IEEE standard for synchrophasor measurements for power systems [38]
IEEE 1159-1995 [143]IEEE recommended practices for monitoring electric power quality [50]
IEEE 2030.7-2017 [144]IEEE standard for the specifications of microgrid controllers [40]
IEEE 1459-2010 [145]IEEE standard definitions for the measurement of electric power quantities under sinusoidal, nonsinusoidal, balanced, and unbalanced conditions [43]
EN 61000-2-2 [146]Electromagnetic compatibility (EMC)–part 2-2: environment—compatibility levels for low-frequency conducted disturbances and signaling in public low-voltage power supply systems [50]
EN IEC 61000-3-2 [147]Electromagnetic compatibility (EMC)–part 3-2: limits—limits for harmonic current emissions (equipment input current <= 16 A per phase) [50]
IEC 61727 [148]Photovoltaic (PV) systems—characteristics of the utility interface [51]
IEC 60831-1 [149]Shunt power capacitors of the self-healing type for AC systems having a rated voltage up to and including 1 kV–part 1: general—performance, testing, and rating safety requirements guide for installation and operation [52]
IEC 60831-2 [150]Shunt power capacitors of the self-healing type for AC systems with a rated voltage up to and including 1kV–part 2: aging test, self-healing test, and destruction test [52]
IEC 60255 [151]Measuring relays and protection equipment–part 1: common requirements [47]
IEC 61850 [152]Communication protocols for intelligent electronic devices at electrical substations [47]
IEC 62040-2 [153]Uninterruptible power systems (UPSs)–part 2: electromagnetic compatibility (EMC) requirements [68]
VDE 0126-1-1 [154]Automatic disconnection device between a generator and the public low-voltage grid [64]
Table 5. Pros and cons of different schemes for grid connection (RQ3).
Table 5. Pros and cons of different schemes for grid connection (RQ3).
Connection SchemeProsConsWorks
DirectEasy connection and low costLittle control [35,38,41,44,45,46,48,51,52,53,55,57,58,59,60,66,67]
Isolation transformerGalvanic isolationHigh cost [40,42,47,49,50,62]
AutotransformerEfficiency and costNo isolation [39,41]
Grid-tied inverterSimple, quality of the AC bus voltageHigh cost [54]
PV-UPQC systemPower quality of the gridDepends on PV system [43]
Energy storage systemPalliates the intermittence of RESsHighest cost [63]
H-bridge, active power decouplerPower qualityComplex control and high cost [64]
Islanded [36,37,56,61,65,68]
Table 6. Control schemes in ACMGs (RQ4).
Table 6. Control schemes in ACMGs (RQ4).
0-LevelPI-resonant for current control [36], PI-resonant for voltage control [36], PI-resonant for voltage control [36], model predictive current control [41], active damping and LCL output current control [41], PR for voltage control [37], negative-sequence voltage elimination [38], negative-sequence current sharing [38], deadbeat current control [50], PI current control [51,55], PI voltage control [55], and hysteresis current controller [61]
Primary levelClassic droop [48,58], PI for reactive power control [41], bilinear PI controller based on passivity-based formulations [44], bilevel functional-rotation-based active damping control [45], improved droop controller [53], repetitive and state feedback control combined with droop control [56], optimal direct control method (FCS-MPC current and voltage control for active power filter) [57], classic droop modification [59], linear quadratic Gaussian control [60], efficiency-prioritized droop control strategy [65], model-predictive-control-based virtual synchronous generator (VSG-MPC) [103], 3-phase improved-magnitude phase-locked-loop control [61]
Secondary levelMicrogrid central controller [40], distributed droop-based [46] distributed leader–follower control, fuzzy multitask secondary controller [58], droop [62], decentralized passive dynamic PI controllers [42]
Tertiary levelMPC for optimal dispatch [35], supervisory control [46], master–slave configuration [39], PI power control [51,58]
Hard to classify in hierarchical control schemesCurrent and voltage control of PV-unified power quality conditioner [43], quasi-proportional-resonant-integral (PRI) current controller (grid-tied inverter with MPPT for PV) [63], quasi-proportional-resonant (PR) current controller (grid-tied inverter with MPPT for PV) [64], composite controller (internal model controller + quasi-PR controller with multiple resonance compensation) for grid-tied inverter [66]
Table 7. Results shown and simulation tools.
Table 7. Results shown and simulation tools.
ProposalResultsSimulation ToolWorks
Control schemeWorks commonly show figures of merit and figures of physical variables to show the tracking capability and response timeMATLAB[39,41,44,48,50,54,59,66,68]
PLECS [65]
PSCAD [56]
PSIM [55]
Power electronic systemExperimental prototype of their proposalMATLAB [21,43,62,124]
PLECS [37]
Fault detection methodWorks show tables of delay times for fault detectionMATLAB [47,49]
PSCAD [67]
Optimization methodFigures of physical variablesMATLAB [51]
Power quality monitoring indexComparison to other indexesMATLAB [52]
Table 8. Experimental results.
Table 8. Experimental results.
ProposalExperimental SetupWorks
Control scheme2-parallel VSI [39,54,58,60,61,65,68]
3-parallel VSI [38,45,66]
1-VSI [40,50,56]
OPAL-RT simulated MG [40]
Control in FPGA + dSPACE RT simulated scheme [41]
Typhoon HIL emulated MG [53]
Power electronic systemSolid state transformer [43]
Other converter [36,37,63,64]
Fault detection methodLaboratory MG [49,67]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Gomez-Redondo, M.; Rivera, M.; Muñoz, J.; Wheeler, P. A Systematic Literature Review on AC Microgrids. Designs 2024, 8, 77. https://doi.org/10.3390/designs8040077

AMA Style

Gomez-Redondo M, Rivera M, Muñoz J, Wheeler P. A Systematic Literature Review on AC Microgrids. Designs. 2024; 8(4):77. https://doi.org/10.3390/designs8040077

Chicago/Turabian Style

Gomez-Redondo, Marcos, Marco Rivera, Javier Muñoz, and Patrick Wheeler. 2024. "A Systematic Literature Review on AC Microgrids" Designs 8, no. 4: 77. https://doi.org/10.3390/designs8040077

Article Metrics

Back to TopTop