Low-Carbon and Economical Orderly Charging Strategy for Electric Vehicles in Residential Area Based on Dynamic Charging Prices

One important way to support the double carbon strategy is to develop electric vehicles (EVs). With the rapid growth of EVs, we propose a low-carbon economic and orderly charging strategy for EVs in the residential area based on dynamic charging prices to address the problem of increasing peak-to-valley problems caused by disorderly charging. In the residential area, EVs and distributed power sources are aggregated separately, with the EV aggregator aiming to minimize carbon trading and charging costs contribution title. The distributed power source aggregator aims to minimize operating costs and net load peak-valley difference in the residential area. A master-slave game model for the EV aggregator and distributed resource aggregator is constructed, and the equilibrium solution of the game with dynamic charging prices is obtained by combining genetic algorithm and CPLEX. The simulation result shows that the proposed strategy can generate a reasonable dynamic charging price, which can improve low-carbon and economic benefits of the residential area while consuming distributed power locally and lowering the peak-to-valley difference of residential load.