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Sustainable Future of Power System: Estimation and Optimization
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Sustainable Future of Power System: Estimation and Optimization

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".

Deadline for manuscript submissions: closed (23 October 2023) | Viewed by 10864

Special Issue Editors

Dr. Abdullah Shaheen

E-Mail Website
Guest Editor
Department of Electrical Power Engineering, Faculty of Engineering, Suez University, Suez 43533, Egypt
Interests: optimization; power systems analysis; power transmission
Prof. Dr. Ragab A. El-Sehiemy

E-Mail Website
Guest Editor
Electrical Engineering Department, Faculty of Engineering, Kafrelsheikh University, Kafrelsheikh 33516, Egypt
Interests: power system modeling, computation, and control; renewable energy; microgrids
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

During the last two decades, the total capacity of generated energy in power networks has quickly grown and become increasingly diverse. This supports increasing sustainable development in renewable power sources such as solar PVs, wind turbines, battery storage, and electric vehicles. Additionally, significant challenges are concerned with improving electricity quality in power networks to promote their optimal planning, operation, and control. Moreover, additional flexibility in power transmission and distribution systems are associated with incorporating global climate warming issues, intermittent characteristics of renewable energy resources, flexible AC transmission (FACTs) devices, high-voltage DC lines (HVDC), and other energy resources, such as natural gas, heat, and hydrogen. Moreover, several intelligent estimation and optimization tools are also upgraded for improving electricity quality for a sustainable future including distributed generation, reconfiguration, ancillary services, reactive power support, resilience maximization, power system stability, advanced controllers’ application, demand side management, economic dispatch, optimal power flow, combined heat and power dispatch, electricity market operation, social welfare maximization, charging stations impact, etc.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following: 

  • Enhancing the performance of traditional and modern power networks. 
  • Integration of renewable energy sources in power systems.
  • Advanced controllers to improve the performance of power system components. 
  • Effective methods for dealing with uncertainties of new and renewable power sources. 
  • Optimization techniques for sustainable power system planning, operation, and control. 
  • Optimal penetration of distributed generation, electric vehicles, and energy storage. 
  • Optimal control of sustainable power systems with merged new technologies such as FACTs, HVDC, voltage source stations, onshore and offshore wind turbines, storage units, etc. 
  • Economic dispatch in electrical power, gas, heat, and hydrogen energies. 
  • Demand-side management in sustainable power systems. 
  • Mathematical, heuristic, and meta-heuristic methods for dealing with nonlinearities and nonconvexities in sustainable power system issues. 
  • Optimization algorithms for the allocation of active and reactive power sources in distribution systems and microgrids.

We look forward to receiving your contributions.

Dr. Abdullah Shaheen
Prof. Dr. Ragab A. El-Sehiemy
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. Sustainability 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

  • ancillary services
  • artificial intelligence
  • distributed generation
  • estimation and prediction techniques
  • optimal control and design
  • optimization techniques
  • renewable sources
  • power system optimization
  • power system stability
  • sustainable future of power systems

Published Papers (5 papers)

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Research

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30 pages, 29045 KiB  
Article
Optimized Power Management Approach for Photovoltaic Systems with Hybrid Battery-Supercapacitor Storage
by Djamila Rekioua, Khoudir Kakouche, Abdulrahman Babqi, Zahra Mokrani, Adel Oubelaid, Toufik Rekioua, Abdelghani Azil, Enas Ali, Ali H. Kasem Alaboudy and Saad A. Mohamed Abdelwahab
Sustainability 2023, 15(19), 14066; https://doi.org/10.3390/su151914066 - 22 Sep 2023
Cited by 5 | Viewed by 1940
Abstract
The paper addresses the ongoing and continuous interest in photovoltaic energy systems (PESs). In this context, the study focuses on an isolated photovoltaic system with hybrid battery-supercapacitor storage (HBSS). The integration of supercapacitors (SCs) in this system is particularly important because of their [...] Read more.
The paper addresses the ongoing and continuous interest in photovoltaic energy systems (PESs). In this context, the study focuses on an isolated photovoltaic system with hybrid battery-supercapacitor storage (HBSS). The integration of supercapacitors (SCs) in this system is particularly important because of their high specific power density. In photovoltaic (PV) systems, multi-storage systems use two or more energy storage technologies to enhance system performance and flexibility. When batteries and supercapacitors are combined in a PV system, their benefits are maximized and offer a more reliable, efficient, cost-effective energy storage option. In addition, effective multi-storage power management in a PV system needs a solid grasp of the energy storage technologies, load power demand profiles, and the whole system architecture. This work establishes a battery-supercapacitor storage system (HBSS) by combining batteries and supercapacitors. The primary objective is to devise a novel management algorithm that effectively controls the different power sources. The algorithm is designed to manage the charge and discharge cycles of the hybrid battery-supercapacitor energy storage system (HBSS), thereby guaranteeing that the state of charge (SOC) for both batteries and supercapacitors is maintained within the specified range. The proposed management algorithm is designed to be simple, efficient, and light on computational resources. It efficiently handles the energy flow within the HBSS, optimizing the usage of both batteries and supercapacitors based on real-time conditions and energy demands. The proposed method ensures their longevity and maximizes their performance by maintaining the SOC of these energy storage components within the specified limits. Simulation results obtained from applying the management strategy are found to be satisfactory. These results show that the proposed algorithm maintains the SOC of batteries and supercapacitors within the desired range, leading to improved energy management and enhanced system efficiency. Full article
(This article belongs to the Special Issue Sustainable Future of Power System: Estimation and Optimization)
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31 pages, 4295 KiB  
Article
Optimization of Power System Stabilizers Using Proportional-Integral-Derivative Controller-Based Antlion Algorithm: Experimental Validation via Electronics Environment
by Nader M. A. Ibrahim, Hossam E. A. Talaat, Abdullah M. Shaheen and Bassam A. Hemade
Sustainability 2023, 15(11), 8966; https://doi.org/10.3390/su15118966 - 1 Jun 2023
Cited by 6 | Viewed by 1215
Abstract
A robust, optimized power system stabilizer (PSS) is crucial for oscillation damping, and thus improving electrical network stability. Additionally, real-time testing methods are required to significantly reduce the likelihood of software failure in a real-world setting at the user location. This paper presents [...] Read more.
A robust, optimized power system stabilizer (PSS) is crucial for oscillation damping, and thus improving electrical network stability. Additionally, real-time testing methods are required to significantly reduce the likelihood of software failure in a real-world setting at the user location. This paper presents an Antlion-based proportional integral derivative (PID) PSS to improve power system stability during real-time constraints. The Antlion optimization (ALO) is developed with real-time testing methodology, using hardware-in-the-loop (HIL) that can communicate multiple digital control schemes with real-time signals. The dynamic power system model runs on the dSPACE DS1104, and the proposed PSS runs on the field programmable gate arrays (FPGA) (NI SbRIO-9636 board). The optimized PSS performance was compared with a modified particle swarm optimization (MPSO)-based PID-PSS, through different performance indices. The test cases include other step load perturbations and several short circuit faults at various locations. Twelve different test cases have been applied, through real-time constraints, to prove the robustness of the proposed PSS. These include 5 and 10% step changes through 3 different operating conditions and single, double, and triple lines to ground short circuits through 3 different operating conditions, and at various locations of the system transmission lines. The analysis demonstrates the effectiveness of ALO and MPSO in regaining the system’s stability under the three loading conditions. The integral square of the error (ISE), integral absolute of the error (IAE), integral time square of the error (ITSE), and integral time absolute of the error (ITAE) are used as performance indices in the analysis stage. The simulation results demonstrate the effectiveness of the proposed PSS, based on the ALO algorithm. It provides a robust performance, compared to the traditional PSS. Regarding the applied indices, the proposed PSS, based on the ALO algorithm, obtains significant improvement percentages in ISE, IAE, ITSE, and ITAE with 30.919%, 23.295%, 51.073%, and 53.624%, respectively. Full article
(This article belongs to the Special Issue Sustainable Future of Power System: Estimation and Optimization)
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26 pages, 3549 KiB  
Article
Growth Optimizer for Parameter Identification of Solar Photovoltaic Cells and Modules
by Houssem Ben Aribia, Ali M. El-Rifaie, Mohamed A. Tolba, Abdullah Shaheen, Ghareeb Moustafa, Fahmi Elsayed and Mostafa Elshahed
Sustainability 2023, 15(10), 7896; https://doi.org/10.3390/su15107896 - 11 May 2023
Cited by 23 | Viewed by 1898
Abstract
One of the most significant barriers to broadening the use of solar energy is low conversion efficiency, which necessitates the development of novel techniques to enhance solar energy conversion equipment design. The correct modeling and estimation of solar cell parameters are critical for [...] Read more.
One of the most significant barriers to broadening the use of solar energy is low conversion efficiency, which necessitates the development of novel techniques to enhance solar energy conversion equipment design. The correct modeling and estimation of solar cell parameters are critical for the control, design, and simulation of PV panels to achieve optimal performance. Conventional optimization approaches have several limitations when solving this complicated issue, including a proclivity to become caught in some local optima. In this study, a Growth Optimization (GO) algorithm is developed and simulated from humans’ learning and reflection capacities in social growing activities. It is based on mimicking two stages. First, learning is a procedure through which people mature by absorbing information from others. Second, reflection is examining one’s weaknesses and altering one’s learning techniques to aid in one’s improvement. It is developed for estimating PV parameters for two different solar PV modules, RTC France and Kyocera KC200GT PV modules, based on manufacturing technology and solar cell modeling. Three present-day techniques are contrasted to GO’s performance which is the energy valley optimizer (EVO), Five Phases Algorithm (FPA), and Hazelnut tree search (HTS) algorithm. The simulation results enhance the electrical properties of PV systems due to the implemented GO technique. Additionally, the developed GO technique can determine unexplained PV parameters by considering diverse operating settings of varying temperatures and irradiances. For the RTC France PV module, GO achieves improvements of 19.51%, 1.6%, and 0.74% compared to the EVO, FPA, and HTS considering the PVSD and 51.92%, 4.06%, and 8.33% considering the PVDD, respectively. For the Kyocera KC200GT PV module, the proposed GO achieves improvements of 94.71%, 12.36%, and 58.02% considering the PVSD and 96.97%, 5.66%, and 61.20% considering the PVDD, respectively. Full article
(This article belongs to the Special Issue Sustainable Future of Power System: Estimation and Optimization)
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Review

Jump to: Research

19 pages, 6122 KiB  
Review
Critical Issues of Optimal Reactive Power Compensation Based on an HVAC Transmission System for an Offshore Wind Farm
by Asad Rehman, Mohsin Ali Koondhar, Zafar Ali, Munawar Jamali and Ragab A. El-Sehiemy
Sustainability 2023, 15(19), 14175; https://doi.org/10.3390/su151914175 - 25 Sep 2023
Cited by 3 | Viewed by 2834
Abstract
The reactive power (RP) control of the high voltage alternating current transmission system (HVAC TS) for offshore wind farms (OWFs) is a crucial task to assure the consistent and efficient operation of the system. The importance of RP compensation (RPC) in power system [...] Read more.
The reactive power (RP) control of the high voltage alternating current transmission system (HVAC TS) for offshore wind farms (OWFs) is a crucial task to assure the consistent and efficient operation of the system. The importance of RP compensation (RPC) in power system operation is to maintain voltage stability and reduce power losses. Offshore wind farms present unique challenges for power system operation due to their distance from the onshore grid, variable wind conditions, and complex electrical infrastructure. The HVAC TS is common for OWFs as it is well-suited for transmitting large amounts of power over long distances. In this paper, a literature-based analysis helps in improving the operation and reliability of OWFs, ultimately leading to greater renewable energy utilization. This paper concludes that optimal RPC is a critical task for ensuring the stable and efficient operation of HVAC TSs for OWFs. Advanced control and optimization techniques can help achieve an optimal RPC, thereby minimizing TLS and improving the overall system efficiency. Furthermore, the study investigates the possible benefits of incorporating novel technologies and approaches, such as RESs, into the power compensation process. By offering insightful information on how to optimize HVAC TSs for OWFs, for example, subsea power cables with multiple layers must be used to carry electricity from large offshore wind farms, the development of more sustainable and effective energy solutions is possible. The research concludes by stating that ensuring the steady and effective operation of HVAC TSs for OWFs is a crucial responsibility. Advanced optimization and control solutions can reduce TLS and increase system efficiency by assisting in achieving the optimal RPC. Full article
(This article belongs to the Special Issue Sustainable Future of Power System: Estimation and Optimization)
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21 pages, 2928 KiB  
Review
Critical Technical Issues with a Voltage-Source-Converter-Based High Voltage Direct Current Transmission System for the Onshore Integration of Offshore Wind Farms
by Mohsin Ali Koondhar, Ghulam Sarwar Kaloi, Abdul Sattar Saand, Sadullah Chandio, Wonsuk Ko, Sisam Park, Hyeong-Jin Choi and Ragab Abdelaziz El-Sehiemy
Sustainability 2023, 15(18), 13526; https://doi.org/10.3390/su151813526 - 10 Sep 2023
Cited by 4 | Viewed by 2199
Abstract
Long-distance offshore wind power transmission systems utilize multi-terminal high voltage direct current (MT-HVDC) connections based on voltage source converters (VSCs). In addition to having the potential to work around restrictions, the VSC-based MT-HVDC transmission system has significant technical and economic merits over the [...] Read more.
Long-distance offshore wind power transmission systems utilize multi-terminal high voltage direct current (MT-HVDC) connections based on voltage source converters (VSCs). In addition to having the potential to work around restrictions, the VSC-based MT-HVDC transmission system has significant technical and economic merits over the HVAC transmission system. Offshore wind farms (OWFs) will inevitably grow because of their outstanding resistance to climate change and ability to provide sustainable energy without producing hazardous waste. Due to stronger and more persistent sea winds, the OWF often has a higher generation capacity with less negative climate effects. The majority of modern installations are distant from the shore and produce more power than the early OWF sites, which are situated close to the shore. This paradigm shift has compelled industry and professional researchers to examine transmission choices more closely, specifically HVAC and HVDC transmission. This article conducts a thorough analysis of grid connection technologies for massive OWF integration. In comparison to earlier assessments, a more detailed discussion of HVDC and HVAC topologies, including HVDC based on VSCs and line-commutated converters (LCCs), and all DC transmission systems, is offered. Finally, a selection criterion for HVDC transmission is advised, and its use is argued to be growing. Full article
(This article belongs to the Special Issue Sustainable Future of Power System: Estimation and Optimization)
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