现代电力2025,Vol.42Issue(1):183-190,8.DOI:10.19725/j.cnki.1007-2322.2022.0488
用于电动汽车充电调度的充电站最优定价策略
Optimal Pricing Strategy for Electric Vehicle Charging Scheduling of Charging Stations
摘要
Abstract
To address the challenges posed by the scarcity of traditional primary energy sources and the aggravation of envir-onmental pollution,environment-friendly electric vehicles,cap-able of absorbing the electrical energy generated by clean en-ergy,have been vigorously developed.With the proliferation of electric vehicles and charging facilities,the subsequent the dis-orderly charging behavior of electric vehicles results in a signi-ficant impact on the operation of power grid and transportation network,however.To coordinate the operation of power grid and transportation network,an optimal pricing strategy of char-ging stations is proposed.The branch flow model is employed to describe the power grid,while the Wardrop user equilibrium model is utilized to characterize the transportation network.The objective of achieving the lowest operating cost for the power-traffic network is pursued by employing an adaptive particle swarm optimization algorithm to solve the optimization prob-lem and determine the charging price of each charging station.Finally,the effectiveness and superiority of the proposed optim-al pricing strategy are verified through case analysis.关键词
电动汽车/电网/交通网/充电站/最优定价策略Key words
electric vehicles/power grid/transportation network/charging stations/optimal pricing strategy分类
信息技术与安全科学引用本文复制引用
顾映彬,吴超杭,王晓丰,许映春,陈陆野..用于电动汽车充电调度的充电站最优定价策略[J].现代电力,2025,42(1):183-190,8.基金项目
广东电网有限责任公司潮州供电局科技项目"电动汽车充电站对配电网影响及优化运行关键技术研究"(南方电网公司科技项目(035100KK52220019(GDKJXM2 0220765))). Science and Technology Project of Chaozhou Power Supply Bureau of Guangdong Power Grid Co.,LTD.(Research on Key Technologies of Electric Vehicle Charging Stations'Impact on Distribution Network and Optimization Operation(Science and Technology Project of China Southern Power Grid Co.,LTD.(035100KK52220019(GDKJXM20220765))). (南方电网公司科技项目(035100KK52220019(GDKJXM2 0220765)