EVCS Joint BESS Optimal Planning Based on MOTEO Algorithm

As the global stock of electric vehicles (EVs) continues to rise, electric vehicle charging stations (EVCS) are being widely integrated into the distribution network to meet the growing demand for EV charging. The stability, safety, and economic viability of the distribution network are facing unprecedented challenges. In order to mitigate the impact of EVCS on the distribution network while ensuring the interests of investors, this paper proposes a multi-objective EVCS-BESS (Battery Energy Storage System) planning model that considers the behavioral characteristics of EVs. This model aims to minimize the integrated costs of EVCS and BESS, the economic cost of system network loss, and the voltage fluctuations in the system. By optimizing the siting and capacity of EVCS and BESS, the model achieves the best trade-off between investment costs and the quality of electrical energy in the network. Finally, the MOTEO algorithm is used to validate the proposed model on the IEEE-33 expanded test nodes. The simulation results demonstrate that, compared to the scenario without BESS configuration, the voltage fluctuations decrease by 27.4%.