Bidding Strategy for Battery Swapping Station Participating in Electricity Energy and Frequency Regulation Market Considering Demand Response of Battery Swapping

被引：0
|
作者：
Li X. [1 ,2 ]
Zhan Z. [1 ,2 ]
Li F. [1 ,2 ]
Zhang L. [1 ,2 ]
机构：
[1] Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station, China Three Gorges University, Yichang
[2] College of Electrical Engineering & New Energy, China Three Gorges University, Yichang
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2024年 / 48卷 / 08期
基金：
中国国家自然科学基金;
关键词：
ancillary service; battery swapping station (BSS); bidding strategy; electric vehicle (EV); electricity market; frequency regulation;
D O I：
10.7500/AEPS20230628004
中图分类号：
学科分类号：
摘要：
The large-scale development of the electric vehicles (EVs) will increase the pressure of peak and frequency regulation of power grids. The market-based operation of the battery swapping stations (BSSs) can effectively stimulate the BSSs to make full use of the EV swapping demand and the battery flexibility resources of BSSs, alleviating the pressure of peak and frequency regulation of power grids. Therefore, the cooperative bidding strategy and a two-stage optimization model for BSS participating in the electricity energy market and the frequency regulation market are proposed. In the first stage, the battery swapping price is set according to the demand of the frequency regulation market, and EVs are guided to adjust the battery swapping demand. The number and time sequence of redundant batteries are optimized to be consistent with the trend of frequency regulation demand, and the frequency regulation service revenues of BSS are improved. In the second stage, the market bidding strategy is formulated considering the demand response of BSS and the market peak regulation and frequency regulation demands. The proposed biding strategy can reduce the charging costs of BSS and improve the revenues of the frequency regulation service, helping the power grid to fulfill the peak and frequency regulation, while meeting the EV battery swapping demand preferentially. Case simulation results verify the effectiveness of the proposed bidding strategy. This work is supported by National Natural Science Foundation of China (No. 52007103) and Open Fund of Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station (No. 2022KJX07). © 2024 Automation of Electric Power Systems Press. All rights reserved.
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页码：207 / 215
页数：8
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