风光储一体电动汽车充电站混合储能容量优化配置

Optimal allocation of hybrid energy storage capacity for wind-solar-storage integrated electric vehicle charging station

针对大规模电动汽车(electric vehicle,EV)接入配电网引起联络线功率波动过大的问题,提出风光储一体电动汽车充电站的混合储能容量优化配置模型。首先,考虑EV充电需求,确定联络线协议功率和混合储能系统(hybrid energy storage system,HESS)总功率;然后,利用鲸鱼优化算法(whale optimization algorithm,WOA)优化的变分模态分解(variational mode decomposition,VMD)对HESS的总功率进行分解,根据不同功率临界点得到蓄电池和超级电容的充放电功率指令,采用蜣螂优化算法(dung beetle optimizer,DBO)求解以蓄电池和超级电容的额定容量为优化变量的年综合成本最小模型,获得最优的储能容量配置和功率分配方案。基于某风光储一体EV充电站进行算例分析,验证了所提方案的经济性和合理性,结果表明,EV充电站配置HESS相较单一储能降低了年综合成本。

In response to the problem of excessive power fluctuation caused by the integration of a large number of electric vehicles(EV)into the distribution grid,this paper proposes an optimization configuration model for hybrid energy storage capacity used in wind and solar integrated EV charging stations.First,the protocol power of the liaison line and the total power of the hybrid energy storage system(HESS)were determined considering EV charging requirements.Then,the variational mode decomposition(VMD)optimized by whale optimization algorithm(WOA)was used to decompose the total power of HESS.The charging and discharging power instructions of the battery and supercapacitor were obtained according to different power critical points,and the dung beetle optimizer(DBO)algorithm was used to solve the annual comprehensive cost minimization model with the rated capacity of the battery and supercapacitor as the optimization variable,to obtain the optimal storage capacity configuration and power allocation scheme.Based on a case study of a wind-solar-storage integrated EV charging station,the results show that the configuration of HESS reduces the annual comprehensive cost compared with a single energy storage,which verifies the economic feasibility and rationality of the proposed scheme.