Page 68 - 《中国电力》2026年第3期

第 59 卷 第 3 期 Vol. 59, No. 3
2026 年 3 月 ELECTRIC POWER Mar. 2026

引用格式：王世谦, 华远鹏, 李秋燕, 等. 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.
Citation: WANG Shiqian, HUA Yuanpeng, LI Qiuyan, et al. Bidding operation strategies for charging stations considering various vehicle-grid
interactive scenarios[J]. Electric Power, 2026, 59(3): 64−73.

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 3
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(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)
Bidding operation strategies for charging stations considering
various vehicle-grid interactive scenarios

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WANG Shiqian , HUA Yuanpeng , LI Qiuyan , LIU Bo , YANG Jianping , XIANG Yue 3
(1. State Grid Henan Electric Power Company Economic and Technology Research Institute, Zhengzhou 450052, China; 2. State Grid Henan
Electric Power Company, Zhengzhou 450052, China; 3. College of Electrical Engineering, Sichuan University, Chengdu 610065, China)

Abstract: With the large-scale development of electric State Grid Henan Electric Power Company (No.5217L024
vehicles, charging load has gradually become the largest 0003).
distributed adjustable resource in the power system. Keywords: electric vehicles; demand response; tiered
Investigating operational optimization strategies for electric subsidies; order data; load forecasting; bidding strategy
vehicle charging stations' participation in vehicle-grid
摘 要：随着电动汽车的规模化发展，充电负荷逐渐成
integration has crucial implications for the synergistic
为社会最大的分布式可调节资源，研究充电站参与车网
development of both the electric vehicle industry and the power
互动的运营优化策略对电动汽车与电网的协同发展具有
grids. Firstly, considering the differentiated charging demand
重要价值和意义。对此，首先考虑电动汽车用户差异化
and energy consumption characteristics of EV users, a charging
的充电需求以及用能特性，构建了基于订单数据的充电
load prediction model based on order data is constructed to 负 荷 分 类 预 测 模 型 ， 提 供 充 电 站 参 与 响 应 能 量 管 理 依
provide the basis for charging stations' participation in 据。然后结合当前分级补贴和基线差额等工程因素进行
responsive energy management. And then, based on 了物理建模，提出了更贴合实际工程场景的充电站投标
engineering factors such as current tiered subsidies and baseline 优化策略，以适应邀约型、市场型不同模式下的车网互
differentials, a physical model is developed, and a more 动场景。最后基于实际订单数据进行了不同场景下充电
practically-oriented bidding optimization strategy for charging 站参与需求响应模拟分析，实验结果表明该模型在积极
stations is proposed, which is designed to adapt to different 引导电动汽车响应电网调节需求的同时，能有效保证充
vehicle-grid interaction scenarios, including both invitation- 电站的互动收益。
based and market-based modes. Finally, simulation analyses of 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
charging stations participating in demand response under
DOI：10.11930/j.issn.1004-9649.202501061
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 0 引言
while actively guiding electric vehicles to respond to grid
regulation demands. 在大规模可再生资源发电的接入下，电网侧
This work is supported by Science and Technology Project of 可调节能力不足，系统安全问题日益凸显 [1-4] 。电
动汽车由于其可控负荷特性，逐渐成为最大的分
收稿日期：2025−01−20； 修回日期：2025−11−30。 布式灵活性资源。作为电动汽车能源补给的关键
基金项目：国网河南省电力公司科技项目（5217L0240003）。 节点，充电站通过与电力市场的深度融合，可以

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