周卓,芦翔,刘海涛,祁升龙,韩韬,王青.含新能源发电的电动汽车充电站充电功率在线优化策略研究[J].电测与仪表,2024,61(2):101-107. ZHOU Zhuo,LU Xiang,LIU Haitao,QI Shenglong,HAN Tao,WANG Qing.Research on on-line charging power optimization strategy for EV charging station with renewable energy generation[J].Electrical Measurement & Instrumentation,2024,61(2):101-107.
含新能源发电的电动汽车充电站充电功率在线优化策略研究
Research on on-line charging power optimization strategy for EV charging station with renewable energy generation
Aiming at the charging power optimization problem of EV charging stations with renewable energy generations, an on-line optimization strategy of charging power in real time is proposed. During the optimization process, a state dependence based decision variables classification method in the initial stage is proposed to reduce the optimized matrix dimensions. In the optimization process, the differential evolution algorithm (DEA) is utilized to optimize the effective decision vector combination and decision vector respectively, by which both the quickness and accuracy can be achieved to optimize the charging plan of each charging pile in the charging station in the next 24 hours. The proposed optimization strategy has a certain reference value for reducing the charging cost and improving load fluctuation caused by EV charging.
