Economic and Technological Research Institute of State Grid Shanxi Electric Power Company
College of Electrical and Power Engineering, Taiyuan University of Technology

【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 char-ging 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 cor-relation 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.

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:

邢亚虹,孟长虹,黄倩,等.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[J].太原理工大学学报,2024,55(1):20-30.

XING Yahong,MENG Changhong,HUANG Qian,et al.A bilevel multi-objective planning of electric vehicle charging station considering uncertainty of wind power and photovoltaic[J].Journal of Taiyuan University of Technology,2024,55(1):20-30.