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基于"车-桩-站"交互的充换电站一体化实时调度策略

胡号 胡志坚 李天格 刘盛辉 郝丹宁

中国电机工程学报2025,Vol.45Issue(11):4175-4186,12.
中国电机工程学报2025,Vol.45Issue(11):4175-4186,12.DOI:10.13334/j.0258-8013.pcsee.240052

基于"车-桩-站"交互的充换电站一体化实时调度策略

Integrated Real-time Dispatching Strategy of Charging and Swapping Stations Based on"Vehicle-pile-station"Interaction

胡号 1胡志坚 1李天格 1刘盛辉 1郝丹宁1

作者信息

  • 1. 武汉大学电气与自动化学院,湖北省武汉市 430072
  • 折叠

摘要

Abstract

In order to solve the problem of real-time aggregation and scheduling of large-scale electric vehicle clusters by charging and swapping stations,an integrated real-time scheduling strategy of electric vehicle charging and swapping stations based on"vehicle-pile-station"interaction is proposed.First,the"vehicle-pile"interaction is completed according to the charging information of electric vehicles,and the allocation of charging and swapping facilities is realized.Next,based on the finite state machine,the state transfer model of charging and swapping facilities is established.Then,the priority queue for charging and swapping is generated by comprehensively considering the idleness of the charging and swapping facilities,the charging urgency,the transfer of the charging state,the load margin and other indicators.On this basis,a"pile-station"dispatching strategy is proposed according to the power grid demand,and a charging plan is generated to realize the integrated real-time scheduling of charging and swapping stations.The results show that the strategy is effective in both traditional power consumption and large-scale new energy access scenarios,and the impact of charging load on the power grid can be alleviated by adjusting a small amount of charging state,which verifies the practicability and applicability of the strategy.

关键词

电动汽车/车-网互动/功率分配/调度策略/优先队列

Key words

electric vehicle/vehicle-grid interaction/power allocation/scheduling strategies/priority queues

分类

信息技术与安全科学

引用本文复制引用

胡号,胡志坚,李天格,刘盛辉,郝丹宁..基于"车-桩-站"交互的充换电站一体化实时调度策略[J].中国电机工程学报,2025,45(11):4175-4186,12.

基金项目

国家重点研发计划项目(2022YFE0205300).National Key R&D Program of China(2022YFE0205300). (2022YFE0205300)

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