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Recent Advances in Hybrid Power Generation Using Solar and Wind...
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Recent Advances in Hybrid Power Generation Using Solar and Wind Energy

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Power Electronics".

Deadline for manuscript submissions: 16 October 2024 | Viewed by 2917

Special Issue Editors

Prof. Dr. Marco Mussetta

E-Mail Website
Guest Editor
Department of Energy, Politecnico di Milano, 20133 Milano, MI, Italy
Interests: computational intelligence; optimization; machine learning; fuzzy logic; wireless sensor networks; renewable energy; photovoltaics; wind power; forecasting
Special Issues, Collections and Topics in MDPI journals
Dr. Dinh Duong Le

E-Mail Website
Guest Editor
Faculty of Electrical Engineering, The University of Da Nang—University of Science and Technology, Danang 550000, Vietnam
Interests: probabilistic approaches applied to power systems; renewable energy; power system security assessment; power system operation and planning; smart grids; energy storage systems
Dr. Minh Quan Duong

E-Mail Website
Guest Editor
Faculty of Electrical Engineering, The University of Danang - University of Science and Technology, Danang 550000, Vietnam
Interests: new and renewable energy in power system; computational intelligence techniques for renewable energy and smart grid

Special Issue Information

Dear Colleagues,

Renewable energy is an important part of the electricity system of countries worldwide, with a high market share corresponding to wind and solar energy. Their proportion accounts for over 50% or even 100% of the generating capacity in some European countries. In addition to addressing the problem of increasing electricity demand, wind and solar energy reduce CO2 emissions by eliminating the need to use challenging chemical energy sources. However, a persistent downside is the poor stability during operation. This presents many risks because of factors that lead to reduced power output, which generates uncertainty. Therefore, strategies for the optimal operation and control of solar–wind hybrid systems need to be researched toward improving the stability of power systems and coping with disturbances to these generation sources.

Many aspects related to the development of integrated solar–wind power systems can be investigated. First, it is necessary to consider the impact of these energy sources when integrated into the power system, depending on the installation area, to propose reasonable development orientations. Second, forecasting is a crucial element in the application and use of wind and solar energy. Forecasting results characterized by low error contribute to easy control of the system when errors occur. Third, power electronic converters are an indispensable component of renewable energy sources. Developing high-performance converters with advanced control algorithms can minimize power loss and ensure stable output responses. Finally, proposing a transaction strategy between power systems and microgrids or multiple microgrids can improve reliability and optimize electricity generation costs.

For this Research Topic, we would like to encourage original contributions regarding recent developments in suitable technologies, ideas, and solutions for solar–wind hybrid systems, for example:

  • Evaluating the impact of solar and wind generators penetrating power systems and solutions to improve operational stability.
  • Advanced control of power converters of a hybrid renewable energy source to minimize adverse impacts on the power system.
  • Different types of energy source combinations, modeling, power converter architectures, sizing, and optimization techniques used in hybrid renewable energy sources.
  • Optimization of energy transaction strategies and energy management systems for microgrids to increase system reliability and reduce operation costs.
  • Ancillary services, storage system solutions, and technology to support renewable energy.

Dr. Marco Mussetta
Dr. Dinh Duong Le
Dr. Minh Quan Duong
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • hybrid renewable energy sources
  • hybrid energy storage system
  • optimization
  • power converter
  • photovoltaics
  • wind turbine

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Published Papers (3 papers)

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Research

18 pages, 5481 KiB  
Article
Two-Area Automatic Generation Control for Power Systems with Highly Penetrating Renewable Energy Sources
by Le Hong Lam, Le Khoa Nam, Nguyen Khac Tien Dung and Nguyen Huu Hieu
Electronics 2024, 13(15), 2907; https://doi.org/10.3390/electronics13152907 - 23 Jul 2024
Viewed by 421
Abstract
Currently, renewable energy sources (RESs) are gradually replacing traditional power sources that use fossil fuels. In some countries, such as Vietnam, RESs are developed on a massive scale and are concentrated in some key areas. This causes negative impacts on a power system [...] Read more.
Currently, renewable energy sources (RESs) are gradually replacing traditional power sources that use fossil fuels. In some countries, such as Vietnam, RESs are developed on a massive scale and are concentrated in some key areas. This causes negative impacts on a power system when its transmission system is not deployed synchronously to release their capacity from these new renewable energy plants. An important challenge today is to ensure frequency stability in power systems with high uncertainty in RES output power. Additionally, the system requires solutions to prevent transmission line overloads during periods when RESs make a substantial contribution to the electricity generation capacity. Therefore, this paper builds an automatic generation control (AGC) system for a two-area power system with high penetration of RESs. This AGC system model aims to maintain system frequency stability amid unpredictable changes in RESs while also ensuring that tie-lines transmit the predetermined power levels to mitigate frequent congestion. By continuously monitoring and adjusting the system’s frequency, the challenges posed by the inherent variability of RESs can be effectively mitigated. The AGC model is simulated on DIgSILENT PowerFactory software and tested with a 106-bus system. The simulation results of this study show that the AGC system operates effectively, ensuring that the frequency returns to the rated value and maintaining the exchange capacity on the tie-lines after occurrences of RES power decrease events. Full article
(This article belongs to the Special Issue Recent Advances in Hybrid Power Generation Using Solar and Wind Energy)
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12 pages, 867 KiB  
Article
Research of Short-Term Wind Power Generation Forecasting Based on mRMR-PSO-LSTM Algorithm
by Xuanmin Huo, Hao Su, Pu Yang, Cangzhen Jia, Ying Liu, Juanjuan Wang, Hongmei Zhang and Juntao Li
Electronics 2024, 13(13), 2469; https://doi.org/10.3390/electronics13132469 - 24 Jun 2024
Viewed by 515
Abstract
A novel short-term wind power forecasting method called mRMR-PSO-LSTM was proposed to address the limitations of traditional methods in ignoring the redundancy and temporal dynamics of meteorological features. The methods employed the Minimum Redundancy Maximum Relevance (mRMR) algorithm to select relevant meteorological features [...] Read more.
A novel short-term wind power forecasting method called mRMR-PSO-LSTM was proposed to address the limitations of traditional methods in ignoring the redundancy and temporal dynamics of meteorological features. The methods employed the Minimum Redundancy Maximum Relevance (mRMR) algorithm to select relevant meteorological features while minimizing redundancy. Additionally, the Particle Swarm Optimization (PSO) algorithm was utilized to optimize the parameters of the Long Short-Term Memory (LSTM) network, thereby enhancing its forecasting accuracy. Experimental results demonstrated that the proposed mRMR-PSO-LSTM outperforms FNN, GRU, and PSO-LSTM in four key evaluation metrics. Full article
(This article belongs to the Special Issue Recent Advances in Hybrid Power Generation Using Solar and Wind Energy)
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17 pages, 3187 KiB  
Article
Flexible Frequency Response Strategy with Smooth Rotor Speed Recovery of a DFIG-Based Wind Turbine
by Xiaocen Xue, Shun Sang and Jiejie Huang
Electronics 2023, 12(4), 794; https://doi.org/10.3390/electronics12040794 - 5 Feb 2023
Cited by 1 | Viewed by 1242
Abstract
Grid frequency must be regulated in its nominal range to guarantee the stable operation of an electric power grid. Excessive grid frequency excursions result in load shedding, grid frequency instability, or even synchronous generator damage. With the growing wind penetration, there is an [...] Read more.
Grid frequency must be regulated in its nominal range to guarantee the stable operation of an electric power grid. Excessive grid frequency excursions result in load shedding, grid frequency instability, or even synchronous generator damage. With the growing wind penetration, there is an increasing issue about the reduction in inertia response. This paper addresses a self-adaptive inertial control strategy for improving the frequency nadir and smoothly regaining the rotor speed to the initial working condition without causing a second frequency drop (SFD). The first objective is achieved by determining the incremental power considering the maximum rate of change of frequency; the secondary goal is realized by smoothly decreasing the power reference based on the decreasing function. Simulation results verify that the proposed control strategy not only boosts the frequency nadir but also guarantees the smooth rotor speed recovery with a negligible SFD. Full article
(This article belongs to the Special Issue Recent Advances in Hybrid Power Generation Using Solar and Wind Energy)
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