中国长江三峡集团有限公司，武汉 430010
清华大学电机工程与应用电子技术系，北京 100084
中国三峡新能源（集团）股份有限公司，北京 100053
收稿：2025-09-24，
修回：2025-10-10，
纸质出版：2026-04-25
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ZHANG Xianfeng, CHEN Laijun, SHI Yunqian, et al. Site Selection and Capacity Determination Method for Compressed Air Energy Storage Systems Considering Condenser Operation Mode[J]. Power Capacitor & Reactive Power Compensation, 2026, 47(2): 20-29.
张险峰, 陈来军, 史云乾, 等. 计及调相模式的压缩空气储能系统选址定容方法[J]. 电力电容器与无功补偿, 2026,47(2):20-29. DOI： 10.14044/j.1674-1757.pcrpc.2026.02.002.
ZHANG Xianfeng, CHEN Laijun, SHI Yunqian, et al. Site Selection and Capacity Determination Method for Compressed Air Energy Storage Systems Considering Condenser Operation Mode[J]. Power Capacitor & Reactive Power Compensation, 2026, 47(2): 20-29. DOI： 10.14044/j.1674-1757.pcrpc.2026.02.002.
随着我国政策的调整，独立储能电站被允许参与电力市场和辅助服务市场。然而，在新型电力系统中，各节点的电压越限风险不同，AA-CAES在不同节点能够发挥的电压支撑能力不同， AA-CAES能够获得的利润不同，本文提出了一种计及调相模式的压缩空气储能系统选址定容方法以最大化电站利润。本文首先建立了计及调相模式的AA-CAES模型；其次，提出AA-CAES在配电网中的选址与容量配置模型；接着，基于DistFlow模型将上述选址与容量配置模型转化为一个混合整数的二阶锥规划问题并通过求解器求解；最后通过AA-CAES在改良IEEE 33配电网系统中的选址与容量配置进行算例分析。算例表明，计及调相模式后，在典型日内，AA-CAES的收益可以提高1.86%，电网中最低电压幅值上升了0.012 2 p.u.。本文所提计及调相模式的AA-CAES选址与容量配置方法不仅能够有效提高独立储能电站的经济效益，还可以有效提高电网中的电压电能质量。
With the policy adjustment in China，independent energy storage power stations are now permitted to participate in electricity markets and ancillary service markets. However，in the new power system，the risk of voltage violation varies across different nodes，leading to differences in the voltage support capability and potential profits achievable by an Advanced Adiabatic Compressed Air Energy Storage（AA-CAES） system depending on its location. In this paper a site selection and capacity determination method for compressed air energy storage systems considering var support operation mode is propsoed to maximize the profit of power station. Firstly，the AA-CAES model considering the var support operation mode is set up. Then，the site selection and capacity configuration of AA-CAES in power distribution is proposed. After that，based on the DistFlow model，the above-mentioned site selection and capacity configuration model is transformed into a mixed-integer second-order cone programming（MISOCP）problem and solved by using a commercial solver. Finally，case analysis is conducted in the site selection and capacity determination on a modified IEEE 33-bus distribution system by AA-CAES. The example calculation shows that after considering the var support mode，the daily revenue of AA-CAES is increased by 1.86% ，and the minimum voltage amplitude in the grid is improved by 0.0122 p.u. The proposed method for siting and sizing AA-CAES with consideration of var support not only effectively enhances the economic benefits of independent energy storage stations，but also improves voltage and power quality in the distribution network.
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