Hybrid Approach for Optimizing the Integration of Electric Vehicles and Capacitors in Distribution Network

This study introduces an innovative strategy to enhance the efficiency and profitability of electrical distribution networks (DN) in the context of expanding electric vehicle (EV) usage. This work Introduces a hybrid algorithm-based strategy to optimize the placement, sizing, and operation of EVs and capacitors in DNs, improving power loss reduction, voltage regulation, and system reliability. The research leverages a hybrid optimization technique, HGWPSO, which uniquely combines the strengths of Grey Wolf Optimization (GWO), and Particle Swarm Optimization (PSO). These two methods together enable HGWPSO to efficiently identify ideal locations for EV charging stations and capacitor placement. The primary objective is to maximize the network's efficiency by minimizing power losses and stabilizing voltage profiles. The proposed approach is validated on IEEE 33-bus, with results demonstrating a significant reduction in energy losses and improvements in voltage stability. Results reveal substantial gains, with energy loss costs dropping by 51.62% and in the IEEE 33-bus setups. Through its unique hybrid design, HGWPSO presents a powerful solution for integrating EV charging and reactive power support, providing an attractive option for utilities seeking to advance both economic and operational metrics in their networks.