Evolutionary System for Voltage Reactive Power Control in Distribution Network based on Improved Particle Swarm Algorithm

This paper presents an evolutionary system for voltage reactive power control in distribution networks based on the Improved Particle Swarm Algorithm (IPSA). Extensive experiments are conducted in various environmental scenarios, including urban areas, industrial settings, renewable energy integration, residential areas, commercial zones, and rural regions. Evolutionary system in minimizing reactive power losses, regulating voltages, improving power factor, and mitigating voltage violations. The findings of this study contribute to the field of power system optimization by providing a practical and efficient solution for voltage reactive power control. The proposed evolutionary system will be validated using realistic distribution network models and benchmarked against traditional optimization methods, such as genetic algorithms and basic PSO. The system offers a reliable approach to enhance the performance and efficiency of distribution networks in diverse environmental scenarios. The study presents a valuable contribution to the field of power system optimization and provides insights for power system operators and planners in optimizing voltage control strategies and enhancing the overall performance of distribution networks.