Coronavirus Herd Immunity Optimizer for Optimal Electric Vehicle Charging Stations in Distribution Networks with Integrated Distributed Generations

Planning and developing infrastructure for electric vehicle charging stations (EVCS) is necessary to serve the rapidly increasing number of electric vehicles (EVs) today. On the other hand, issues of stable operation, solving complex constraints, optimizing renewable energy sources, and economic efficiency of EVCS investment in the distribution network are of interest. In this study, we proposed a model to determine the optimal location and size of EVCS in the distribution network with integrated distributed generation (DG) in two objective functions; the first is to minimize power loss, the second is to minimize the cost of power loss and the cost of installing EVCS in the distribution network. The Coronavirus Herd Immunity Optimization (CHIO) method is applied to solve the problem; the IEEE 34 bus distribution network is used for testing and it is simulated in Matlab software. The results of the problem are compared with published models, demonstrating the effectiveness of the CHIO algorithm, as well as the EVCS location optimization problem model. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.