含电动汽车充电站的风光互补系统容量优化配置  

Optimum sizing of a stand-alone hybrid PV/wind generation system integrated with electric vehicle charging stations

作　　者：张颖达 刘念 张建华 李洋[2] 

机构地区：[1]新能源电力系统国家重点实验室(华北电力大学),北京102206 [2]中国电力科学研究院,北京100192

出　　处：《电力系统保护与控制》2013年第15期126-134,共9页Power System Protection and Control

基　　金：国家科技支撑计划重大项目(2011BAG02B14);国家高技术研究发展(863)计划重大项目(2011AA11A280);国家电网公司科技项目~~

摘　　要：电动汽车与新能源的综合利用是当前研究的热点问题。在微电网模式下,如何确定电动汽车充电基础设施与风光互补系统的容量配比,是值得探讨的目前尚未解决的问题。在考虑电动汽车用电需求的前提下,同时发挥电动汽车换电模式所具备的储能能力,以系统投资成本、运行成本和电量不足损失成本综合最低为目标,并考虑风光系统、充放电机和动力电池的约束条件,构造了一种含电动汽车充电站的风光互补系统容量优化配置模型。采用微分进化算法求解,可获得含风机、光伏电池、动力电池和充放电机的最优容量配置结果。最后,针对某地区的系统规划算例进行了求解与分析,结果验证了模型的合理性。Comprehensive utilization of electric vehicles （EVs） and renewable energy is a hot issue nowadays, but how to confirm capacity ratio of EV charging infrastructures and PV/wind hybrid system in micro-grid is still tmsolved. This paper presents a model to perform the optimal sizing of a stand-alone hybrid PV/wind generation system integrated with EV charging stations. In the model, the constraint conditions of PV/wind system, recharge and discharge machine and EV battery are considered, as well as EV charging demand and energy storage capacity of battery switch mode. It takes the minimum total costs including investment, operation and loss cost due to lack of electricity as the objective. Differential evolution （DE） algorithm is used to solve optimal capacity configuration containing wind turbines, PV battery, EV battery, and recharge and discharge machine. In the end, the system planning example of an area is solved and analyzed, and the results show that the model is reasonable.

关 键 词：电动汽车充电站 风光互补 容量配置 微分进化算法 

分 类 号：TM910.6[电气工程—电力电子与电力传动] U469.72[机械工程—车辆工程]