VOLTAGE QUALITY STABILITY IN DISTRIBUTION NETWORK WITH INTEGRATED ELECTRIC VEHICLE CHARGING STATIONS

Abstract

Electric vehicles (EVs) are rapidly developing due to their environmental advantages. However, this growth leads to a significant increase in power demand, creating pressure on the distribution power network in terms of peak load phenomena, voltage drops, and load fluctuations, which negatively affect power quality and service reliability. Therefore, researching solutions to mitigate these adverse impacts is a matter of concern. In this study, we propose a solution to maintain voltage quality stability in distribution networks integrated with Distributed Generation (DG) and Battery Energy Storage Systems (BESS), in the context of expanding Electric Vehicle Charging Station (EVCS) systems, with the objective of minimizing power losses. The Coronavirus Herd Immunity Optimization (CHIO) algorithm is applied to determine the optimal solution to the problem. Standard IEEE 33-bus and 69-bus distribution test systems are used for simulation and validation using Matlab R2022a. The performance of the proposed approach is evaluated under three different case and compared with the previously published An improved Chaotic Equilibrium Optimization (CEO) algorithm.