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

doi:10.11930/j.issn.1004-9649.202501061

Abstract

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.

Key words: electric vehicles, demand response, tiered subsidies, order data, load forecasting, bidding strategy

WANG Shiqian, HUA Yuanpeng, LI Qiuyan, LIU Bo, YANG Jianping, XIANG Yue. Bidding operation strategies for charging stations considering various vehicle-grid interactive scenarios[J]. Electric Power, 2026, 59(3): 64-73.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202501061

https://www.electricpower.com.cn/EN/Y2026/V59/I3/64

Figures/Tables 7

Table 1 Demand response subsidy standards

响应时长T/min	补贴价格/(元·(kW·次)^–1)
60≤T≤120	6
T＞120	9

Fig.1 Display of charging power based on order

Fig.2 Charging load classification

Fig.3 Prediction error of charging load

Fig.4 Bidding strategy for invitation-based demand response

Fig.5 Bidding strategy for market-oriented peak-shaving response

Fig.6 Bidding strategy for market-oriented valley-filling response

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