考虑电动汽车随机充电行为及低碳效益的充电站规划  

Optimal allocation of charging stations considering stochastic charging behavior and low carbon efficiency of electric vehicles

作　　者：官嘉玉 江修波[1] 刘丽军[1] GUAN Jia-yu;JIANG Xiu-bo;LIU Li-jun(School of Electrical Engineering,Fuzhou University,Fuzhou 350116,China)

机构地区：[1]福州大学电气学院

出　　处：《电力科学与技术学报》2019年第4期93-100,共8页Journal of Electric Power Science And Technology

基　　金：福建省中青年教师教育科研项目(JA14064)

摘　　要：提出一种计及充电需求及其时序性的充电桩规划方法。根据充电负荷预测模型得到规划地区的充电负荷时空分布信息,并以收益最大化作为充电站规划的最终目标,在考虑充电站的投资成本、运行维护成本及网络损耗成本的基础上,对充电站带来的碳减排收益进行分析,建立考虑碳减排收益的电动汽车充电站规划模型。并采用布谷鸟算法对该规划模型进行求解。最后,采用IEEE 33节点算例验证所提求解方法的有效性,能增加充电站投资者的综合收益,具有一定的研究意义。A charging station planning method is proposed by considering the uncertainty of charging demand. Firstly, the charging demand in the planning area is obtained by utilizing the prediction model for the electric vehicle charging load. And then, the profit is maximized the for the charging station via concerning the investment cost, running maintenance cost and network loss cost of the charging station. In addition, the benefits from carbon emission reduction are also analyzed for charging station. Finally, a planning model of electric vehicle charging station is established with the consideration of carbon emission reduction. Meantime, the cuckoo algorithm is employed to solve the planning model. The effectiveness of the proposed model and algorithm is verified by a simulation of IEEE-33 node power distribution systems. It is concluded that the proposed planning method can increase the comprehensive income of charging station investors.

关 键 词：电动汽车充电站 充电负荷 碳减排收益 收益最大化 布谷鸟算法 

分 类 号：TM715[电气工程—电力系统及自动化]