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1.梯级水电站运行与控制湖北省重点实验室(三峡大学),湖北省宜昌市 443002
2.三峡大学电气与新能源学院,湖北省宜昌市 443002
李咸善(1964—),男,博士,教授,博士生导师,主要研究方向:微电网运行与调度、新型电力系统运行与调度、水电站仿真与控制。E-mail:lixianshan@ctgu.edu.cn
詹梓澳(1999—),女,通信作者,硕士研究生,主要研究方向:电力系统运行与控制。E-mail:895080413@qq.com
李飞(1986—),男,博士,讲师,主要研究方向:智能电网优化运行与控制、梯级水电站优化调度。E-mail:dqlifei@ctgu.edu.cn
收稿:2023-06-28,
修回:2023-12-04,
网络出版:2024-03-29,
纸质出版:2024-04-25
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李咸善,詹梓澳,李飞等.考虑换电需求响应的换电站参与电能量-调频市场竞价策略[J].电力系统自动化,2024,48(8):207-215.
LI Xianshan,ZHAN Ziao,LI Fei,et al.Bidding Strategy for Battery Swapping Station Participating in Electricity Energy and Frequency Regulation Market Considering Demand Response of Battery Swapping[J].Automation of Electric Power Systems,2024,48(8):207-215.
李咸善,詹梓澳,李飞等.考虑换电需求响应的换电站参与电能量-调频市场竞价策略[J].电力系统自动化,2024,48(8):207-215. DOI: 10.7500/AEPS20230628004.
LI Xianshan,ZHAN Ziao,LI Fei,et al.Bidding Strategy for Battery Swapping Station Participating in Electricity Energy and Frequency Regulation Market Considering Demand Response of Battery Swapping[J].Automation of Electric Power Systems,2024,48(8):207-215. DOI: 10.7500/AEPS20230628004.
电动汽车(EV)大规模发展会加大电网的调峰调频压力。通过换电站市场化运营,可有效激励换电站利用EV换电需求和换电站电池灵活性资源,缓解电网调峰调频压力。为此,提出了换电站参与电能量市场和调频辅助服务市场的协同竞价策略及其两阶段优化模型。第1阶段依据调频市场需求制定换电价格,引导EV调整换电需求,优化冗余电池数量及时序,以便与调频需求趋势一致,进而提升换电站调频服务收益;第2阶段考虑换电站需求响应和市场调峰调频需求,制定换电站竞价策略。所提出竞价策略在优先满足EV换电需求的同时,可降低换电站充电成本、提升调频服务收益,并助力电网调峰调频。算例仿真结果验证了所提策略的有效性。
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.
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