太原理工大学学报2024，Vol.55Issue(1)：20-30,11.DOI:10.16355/j.tyut.1007-9432.20220601
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
摘要
Abstract
[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.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Key words
uncertainty of wind power and photovoltaic power/electric vehicle charging sta-tions/location and capacity determination/bilevel programming model分类
动力与电气工程引用本文复制引用
邢亚虹,孟长虹,黄倩,宋巍,赵海波,申泽渊,秦文萍..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):20-30,11.基金项目
国家自然科学基金联合基金重点支持项目(U1910216) （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) （52053320000B）
