Optimal Configuration of Energy Storage System Capacity in PV-integrated EV Charging Station Based on NSGA-III

Abstract

In order to improve the revenue of PV-integrated EV charging station and reduce the peak-to-valley load difference, the capacity of the energy storage system of PV-integrated EV charging station is optimally configured considering the interests of both the charging station operator and the distribution grid. Firstly, for the uncertainty of charging load, the day-ahead load charging demand is calculated using Monte Carlo method with random sampling. Then, considering the economic indicators such as initial investment cost, operation and maintenance cost, interaction cost with the grid and technical indicators on the grid side, the optimal configuration model of energy storage capacity is established with the objectives of maximizing the revenue of charging stations and minimizing the peak-to-valley difference rate, and the NSGA-III algorithm is used to solve the model. Finally, the effectiveness of the proposed multi-objective optimization model is verified, three schemes with peak-to-valley difference rates of 30%, 45%, and 60% were selected to complete the optimal configuration of energy storage capacity, the economy and reliability of the system are improved on the basis of meeting the load demand, and the overall performance of the charging station is optimized.