考虑用户行为的电动汽车充电电价制定策略  

Price strategy for electric vehicles charging considering users’behavior

作　　者：任丽娜[1] 李相学 REN Lina;LI Xiangxue(School of Electrical Engineering,Yanshan University,Qinhuangdao,Hebei 066004,China)

机构地区：[1]燕山大学电气工程学院,河北秦皇岛066004

出　　处：《燕山大学学报》2021年第6期505-513,共9页Journal of Yanshan University

基　　金：国家自然科学基金资助项目(61573307)。

摘　　要：电动汽车随机接入电网的充电行为会增加电网功率波动进而影响其稳定性,针对这一问题研究了充电电价制定策略,利用电价引导电动汽车改变充电行为进而减小功率波动。首先依据用户的充电行为,建立用户充电量与电价和剩余电量关系的模糊推理模型,基于此模型以提高用户满意度和维持电网稳定为优化目标,设计最优充电电价策略,并将改进的飞蛾火焰算法应用到电价制定策略中,实现对最优电价策略的快速求解。最后通过算例仿真结果可知,改进后的飞蛾火焰算法在求解电价方案时具有快速性和有效性;优化电价方案可以有效引导用户进行合理的充电,在维护车主充电满意度的同时减少电网功率波动带来的不利影响。Stochastic charging behavior of electric vehicles in power grid can increase the load fluctuation and impact the stability of the grid further,then a proper charging price strategy is built aiming at solving the problem,and the charging behavior of electric vehicles can be guided by the price to reduce the impact on grid.Based on the behavior of users,a charging demand-price-SOC fuzzy reasoning model is proposed,and a real-time charging price strategy is designed to satisfy the benefit of users and maintain the grid security based on the model.The improved moth-flame algorithm is applied to the price setting strategy,which can realize the rapid solution to the optimal charging price strategy.The result shows that the improved algorithm is fast and effective in solving price setting problems,and the obtained price strategy can effectively guide the charging pattern of users,which can stabilize the grid working while reduce the charging cost.

关 键 词：电动汽车 充电模型 模糊推理 多目标优化 飞蛾火焰算法 

分 类 号：TM73[电气工程—电力系统及自动化]