基于充电需求预测的电动汽车充电站选址规划研究OA北大核心CSTPCD
Research on location planning of electric vehicle charging station based on prediction of charging demand
针对目前电动汽车充电站选址规划问题,提出了一种基于充电需求分布预测的充电站选址优化策略.该策略建立了基于Dijkstra最短路径的Voronoi图方法和双层动态排队方法的充电站选址定容模型,来满足电动汽车保有量持续增长下的充电需求;在充电站年均建设、运营成本,配电网惩罚成本以及电动汽车充电成本多目标约束下,得到以电动汽车充电站规划总成本最小化为目标函数.最后基于改进粒子群优化算法求解目标函数,对新增充电站进行多场景实例分析.MATLAB和MATP…查看全部>>
Aiming at the current problem of location planning for electric vehicle charging station,a charging sta-tion location optimization strategy based on the prediction of charging demand distribution is proposed.This strategy establishes a charging station location and capacity model based on the Voronoi diagram method of Dijkstra shortest path and the double-layer dynamic queuing method to meet the charging demand under the continuous increase in the number of …查看全部>>
张智禹;王致杰;杨皖昊;张洪玮
上海电机学院 电气学院,上海 201306上海电机学院 电气学院,上海 201306上海电机学院 电气学院,上海 201306上海理工大学机械工程学院,上海 200093
动力与电气工程
充电站选址Voronoi图方法动态排队负荷需求预测粒子群优化算法
location selection of charging stationVoronoi diagram methoddynamic queuingload demand pre-dictionparticle swarm optimization algorithm
《电测与仪表》 2024 (10)
39-49,11
国家自然科学基金资助项目(61803253)上海市自然科学基金资助项目(15ZR1417300)
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