Optimal Integration of Photovoltaic Sources and Capacitor Banks Considering Irradiance, Temperature, and Load Changes in Electric Distribution System
Journal Article
Khaled Fettah1, Ahmed Salhi2, Talal Guia1, Abdelaziz Salah Saidi3, Abir Betka4, Madjid Teguar5, Hisham Alharbi6, Sherif S. M. Ghoneim6, Takele Ferede Agajie7 &Ramy N. R. Ghaly8,9
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January 21, 2025
Institute of Technology
Electrical and Computer Engineering
Abstract Preview:
This paper introduces the Efficient Metaheuristic BitTorrent (EM-BT) algorithm, aimed at optimizingthe 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 voltagestability 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, IEEE69, and ZB-ALG-Hassi Sida 157-bus systems. The results reveal that EM-BT outperforms establishedmethods like Particle Swarm Optimization (PSO), Grey Wolf Optimizer (GWO), and Whale OptimizationAlgorithm (WOA), demonstrating its effectiveness in reducing energy losses and maintaining stablevoltage profiles. By effectively combining PVRES and CBs, this research highlights a robust approach toenhancing 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 avaluable contribution to the field of power system optimization.Keywords: Efficient Metaheuristic BitTorrent (EM-BT) algorithm, Photovoltaic renewable energy sources(PVRES), Capacitor banks (CBs), Energy loss minimization, Particle Swarm Optimization (PSO), Grey WolfOptimizer (GWO), Whale Optimization Algorithm (WOA), Operational reliability
Full Abstract:
This paper introduces the Efficient Metaheuristic BitTorrent (EM-BT) algorithm, aimed at optimizingthe 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 voltagestability 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, IEEE69, and ZB-ALG-Hassi Sida 157-bus systems. The results reveal that EM-BT outperforms establishedmethods like Particle Swarm Optimization (PSO), Grey Wolf Optimizer (GWO), and Whale OptimizationAlgorithm (WOA), demonstrating its effectiveness in reducing energy losses and maintaining stablevoltage profiles. By effectively combining PVRES and CBs, this research highlights a robust approach toenhancing 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 avaluable contribution to the field of power system optimization.Keywords: Efficient Metaheuristic BitTorrent (EM-BT) algorithm, Photovoltaic renewable energy sources(PVRES), Capacitor banks (CBs), Energy loss minimization, Particle Swarm Optimization (PSO), Grey WolfOptimizer (GWO), Whale Optimization Algorithm (WOA), Operational reliability