Optimal integration of photovoltaic sources and capacitor banks considering irradiance, temperature, and load changes in electric distribution system
Abstract This paper introduces the Efficient Metaheuristic BitTorrent (EM-BT) algorithm, aimed at optimizing the placement and sizing of photovoltaic renewable energy sources (PVRES) and capacitor banks (CBs) in electric distribution networks. The main goal is to minimize energy losses and enhance v...
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Nature Portfolio
2025-01-01
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Online Access: | https://doi.org/10.1038/s41598-025-85484-3 |
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author | Khaled Fettah Ahmed Salhi Talal Guia Abdelaziz Salah Saidi Abir Betka Madjid Teguar Hisham Alharbi Sherif S. M. Ghoneim Takele Ferede Agajie Ramy N. R. Ghaly |
author_facet | Khaled Fettah Ahmed Salhi Talal Guia Abdelaziz Salah Saidi Abir Betka Madjid Teguar Hisham Alharbi Sherif S. M. Ghoneim Takele Ferede Agajie Ramy N. R. Ghaly |
author_sort | Khaled Fettah |
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description | Abstract This paper introduces the Efficient Metaheuristic BitTorrent (EM-BT) algorithm, aimed at optimizing the placement and sizing of photovoltaic renewable energy sources (PVRES) and capacitor banks (CBs) in electric distribution networks. The main goal is to minimize energy losses and enhance voltage stability over 24 h, taking into account varying load profiles, solar irradiance, and temperature effects. The algorithm is rigorously tested on standard distribution networks, including the IEEE 33, IEEE 69, and ZB-ALG-Hassi Sida 157-bus systems. The results reveal that EM-BT outperforms established methods like Particle Swarm Optimization (PSO), Grey Wolf Optimizer (GWO), and Whale Optimization Algorithm (WOA), demonstrating its effectiveness in reducing energy losses and maintaining stable voltage profiles. By effectively combining PVRES and CBs, this research highlights a robust approach to enhancing both technical performance and operational reliability in distribution systems. Additionally, the consideration of temperature effects on PVRES efficiency adds depth to the study, making it a valuable contribution to the field of power system optimization. |
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id | doaj-art-378328d255bd4809a0249e28aff1e5b5 |
institution | Kabale University |
issn | 2045-2322 |
language | English |
publishDate | 2025-01-01 |
publisher | Nature Portfolio |
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spelling | doaj-art-378328d255bd4809a0249e28aff1e5b52025-01-26T12:34:00ZengNature PortfolioScientific Reports2045-23222025-01-0115112410.1038/s41598-025-85484-3Optimal integration of photovoltaic sources and capacitor banks considering irradiance, temperature, and load changes in electric distribution systemKhaled Fettah0Ahmed Salhi1Talal Guia2Abdelaziz Salah Saidi3Abir Betka4Madjid Teguar5Hisham Alharbi6Sherif S. M. Ghoneim7Takele Ferede Agajie8Ramy N. R. Ghaly9Electrical Engineering Department, Laboratory (LNTDL), Hamma Lakhdar University of El OuedElectrical Engineering Department, Laboratory (LGEB), Mohamed Khider University of BiskraElectrical Engineering Department, Laboratory (LNTDL), Hamma Lakhdar University of El OuedGrid Studies Department, National GridDepartment of Electrical Engineering, Hamma Lakhdar University of El OuedLaboratoire de Recherche en Electrotechnique, Ecole Nationale Polytechnique, El-HarrachDepartment of Electrical Engineering, College of Engineering, Taif UniversityDepartment of Electrical Engineering, College of Engineering, Taif UniversityDepartment of Electrical and Computer Engineering, Faculty of Technology, DebreMarkos UniversityChitkara Centre for Research and Development, Chitkara UniversityAbstract This paper introduces the Efficient Metaheuristic BitTorrent (EM-BT) algorithm, aimed at optimizing the placement and sizing of photovoltaic renewable energy sources (PVRES) and capacitor banks (CBs) in electric distribution networks. The main goal is to minimize energy losses and enhance voltage stability over 24 h, taking into account varying load profiles, solar irradiance, and temperature effects. The algorithm is rigorously tested on standard distribution networks, including the IEEE 33, IEEE 69, and ZB-ALG-Hassi Sida 157-bus systems. The results reveal that EM-BT outperforms established methods like Particle Swarm Optimization (PSO), Grey Wolf Optimizer (GWO), and Whale Optimization Algorithm (WOA), demonstrating its effectiveness in reducing energy losses and maintaining stable voltage profiles. By effectively combining PVRES and CBs, this research highlights a robust approach to enhancing both technical performance and operational reliability in distribution systems. Additionally, the consideration of temperature effects on PVRES efficiency adds depth to the study, making it a valuable contribution to the field of power system optimization.https://doi.org/10.1038/s41598-025-85484-3Efficient Metaheuristic BitTorrent (EM-BT) algorithmPhotovoltaic renewable energy sources (PVRES)Capacitor banks (CBs)Energy loss minimizationParticle Swarm Optimization (PSO)Grey Wolf Optimizer (GWO) |
spellingShingle | Khaled Fettah Ahmed Salhi Talal Guia Abdelaziz Salah Saidi Abir Betka Madjid Teguar Hisham Alharbi Sherif S. M. Ghoneim Takele Ferede Agajie Ramy N. R. Ghaly Optimal integration of photovoltaic sources and capacitor banks considering irradiance, temperature, and load changes in electric distribution system Scientific Reports Efficient Metaheuristic BitTorrent (EM-BT) algorithm Photovoltaic renewable energy sources (PVRES) Capacitor banks (CBs) Energy loss minimization Particle Swarm Optimization (PSO) Grey Wolf Optimizer (GWO) |
title | Optimal integration of photovoltaic sources and capacitor banks considering irradiance, temperature, and load changes in electric distribution system |
title_full | Optimal integration of photovoltaic sources and capacitor banks considering irradiance, temperature, and load changes in electric distribution system |
title_fullStr | Optimal integration of photovoltaic sources and capacitor banks considering irradiance, temperature, and load changes in electric distribution system |
title_full_unstemmed | Optimal integration of photovoltaic sources and capacitor banks considering irradiance, temperature, and load changes in electric distribution system |
title_short | Optimal integration of photovoltaic sources and capacitor banks considering irradiance, temperature, and load changes in electric distribution system |
title_sort | optimal integration of photovoltaic sources and capacitor banks considering irradiance temperature and load changes in electric distribution system |
topic | Efficient Metaheuristic BitTorrent (EM-BT) algorithm Photovoltaic renewable energy sources (PVRES) Capacitor banks (CBs) Energy loss minimization Particle Swarm Optimization (PSO) Grey Wolf Optimizer (GWO) |
url | https://doi.org/10.1038/s41598-025-85484-3 |
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