考虑风光出力不确定性的电动汽车充电站多目标双层规划  

A Bilevel Multi-objective Planning of Electric Vehicle Charging Station Considering Uncertainty of Wind Power and Photovoltaic

作　　者：邢亚虹 孟长虹 黄倩 宋巍 赵海波 申泽渊 秦文萍[2] XING Yahong;MENG Changhong;HUANG Qian;SONG Wei;ZHAO Haibo;SHEN Zeyuan;QIN Wenping(Economic and Technological Research Institute of State Grid Shanxi Electric Power Company,Taiyuan 030002,China;College of Electrical and Power Engineering,Taiyuan University of Technology,Taiyuan 030024,China)

机构地区：[1]国网山西省电力公司经济技术研究院,太原030002 [2]太原理工大学电气与动力工程学院,太原030024

出　　处：《太原理工大学学报》2024年第1期20-30,共11页Journal of Taiyuan University of Technology

基　　金：国家自然科学基金联合基金重点支持项目(U1910216);国网山西省电力公司科技项目:电力市场环境下的配电网规划优化技术研究(52053320000B)。

摘　　要：【目的】为适应“双碳”目标下电动汽车充电站拓展规划需求,研究充电站选址定容对分布式电源消纳作用的影响。【方法】建立了综合考虑风光出力不确定性和相关性的多目标双层配置优化模型,并分析了分时电价激励下电动汽车用户充电行为变化对充电桩选址定容方案的影响。上层综合考虑经营者投资建设、运行维护、网损成本和用户充电、排队等效成本最小两个目标函数,采用改进多目标粒子群算法生成帕累托最优规划方案。下层模型以弃风弃光率最小为目标,对上层模型生成的帕累托解集进行校验。【结果】通过IEEE33节点路网图对所提模型进行验证,得到在风光不确定场景下的充电桩最优选址方案。【Purposes】In order to meet the expansion planning needs of electric vehicle charging stations under the“double carbon”goal and study the influence of charging station location and capacity on the absorption of distributed power supply.【Methods】This paper establishes a multi-objective double-layer configuration optimization model considering the uncertainty and correlation of wind-power output,and analyzes the influence of charging behavior change of electric vehicle(EV)users on charging pile location and volume scheme under time of use(TOU)power price incentive.The upper layer comprehensively considers the two objective functions of opera-tor investment and construction,operation and maintenance,network loss cost and the minimum equivalent cost of user charging and queuing.The upper layer also uses the improved multi-objec-tive particle swarm optimization algorithm to generate pareto optimal planning scheme.In order to minimize the wind and light discarding rate,the lower model verifies the Pareto solution set generated by the upper model.【Findings】Finally,the model is verified by IEEE33 node road network diagram,and the optimal site selection scheme of charging piles under uncertain scenery is obtained.

关 键 词：风光不确定性 电动汽车充电站 选址定容 双层规划模型 

分 类 号：TM614[电气工程—电力系统及自动化] TM615