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考虑多场景车网互动的充电站投标运营策略

王世谦 华远鹏 李秋燕 刘博 杨建平 向月

中国电力2026,Vol.59Issue(3):64-73,10.
中国电力2026,Vol.59Issue(3):64-73,10.DOI:10.11930/j.issn.1004-9649.202501061

考虑多场景车网互动的充电站投标运营策略

Bidding operation strategies for charging stations considering various vehicle-grid interactive scenarios

王世谦 1华远鹏 1李秋燕 1刘博 2杨建平 3向月3

作者信息

  • 1. 国网河南省电力公司经济技术研究院,河南 郑州 450052
  • 2. 国网河南省电力公司,河南 郑州 450052
  • 3. 四川大学 电气工程学院,四川 成都 610065
  • 折叠

摘要

Abstract

With the large-scale development of electric vehicles,charging load has gradually become the largest distributed adjustable resource in the power system.Investigating operational optimization strategies for electric vehicle charging stations'participation in vehicle-grid integration has crucial implications for the synergistic development of both the electric vehicle industry and the power grids.Firstly,considering the differentiated charging demand and energy consumption characteristics of EV users,a charging load prediction model based on order data is constructed to provide the basis for charging stations'participation in responsive energy management.And then,based on engineering factors such as current tiered subsidies and baseline differentials,a physical model is developed,and a more practically-oriented bidding optimization strategy for charging stations is proposed,which is designed to adapt to different vehicle-grid interaction scenarios,including both invitation-based and market-based modes.Finally,simulation analyses of charging stations participating in demand response under various scenarios are conducted based on actual order data.The experimental results demonstrate that the proposed model can effectively ensure the interactive revenue for charging stations while actively guiding electric vehicles to respond to grid regulation demands.

关键词

电动汽车/需求响应/分级补贴/订单数据/负荷分类预测/投标策略

Key words

electric vehicles/demand response/tiered subsidies/order data/load forecasting/bidding strategy

引用本文复制引用

王世谦,华远鹏,李秋燕,刘博,杨建平,向月..考虑多场景车网互动的充电站投标运营策略[J].中国电力,2026,59(3):64-73,10.

基金项目

This work is supported by Science and Technology Project of State Grid Henan Electric Power Company(No.5217L0240003). 国网河南省电力公司科技项目(5217L0240003). (No.5217L0240003)

中国电力

1004-9649

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