Improvement of the Distribution System Voltage Profile and Net Profit by the Integration of Capacitors with EVCS

Abstract

Electric vehicles must be used to reduce the amount of greenhouse gases and other hazardous gases that are emitted by traditional engine-driven vehicles. Facilities for charging electric vehicles are essential to their broad use. Utility operators and electrical networks have problems when Electric Vehicle charging stations (EVCS) are placed inappropriately. In this work, a new technique for finding the best places for EVCS is presented. Additionally, the charging station has reactive power compensation to handle power outages and keep the distribution network reliable. The suggested technique is Honey Badger Algorithm (HBA). Its capacity for exploration and extraction is well-balanced. To maximize net profit and minimize actual power loss, the recommended technique is applied on the IEEE-33 bus distribution network. Additionally, the results obtained with the expected method are comparable to traditional Advanced Grey Wolf Particle Swarm Optimization (AGWOPSO), GWO and PSO. Compared to AGWOPSO, GWO, and PSO, the recommended approach maximizes net profit by 5764.45$, 6907.36$, and 7324.89$ and reduces loss by 3.34%, 4.62% and 5.06% for the 33-bus system. The collected outcomes illustrate the supremacy of the suggested method over AGWOPSO for identifying the locations of reactive power sources and charging stations in radial distribution systems.