Station-Aggregator Response Resource Trading Mechanism Considering Energy–Power Coupling of Response Capability
Haiqing Gan,
Wenjun Ruan,
Xiaodong Yuan (),
Xize Jiao,
Mingshen Wang and
Yi Pan
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Haiqing Gan: Jiangsu Power Grid Company Ltd., Nanjing 210024, China
Wenjun Ruan: Jiangsu Power Grid Company Ltd., Nanjing 210024, China
Xiaodong Yuan: The Electric Power Research Institute, Jiangsu Power Grid Company Ltd., Nanjing 211103, China
Xize Jiao: The Electric Power Research Institute, Jiangsu Power Grid Company Ltd., Nanjing 211103, China
Mingshen Wang: The Electric Power Research Institute, Jiangsu Power Grid Company Ltd., Nanjing 211103, China
Yi Pan: The Electric Power Research Institute, Jiangsu Power Grid Company Ltd., Nanjing 211103, China
Energies, 2025, vol. 18, issue 11, 1-17
Abstract:
China’s electric vehicle (EV) fleet has reached 30 million, and the effective utilization of their charging and discharging capabilities can provide substantial regulation support to restore supply–demand balance. A prerequisite to achieving this benefit is the proper estimation and utilization of the regulation potential inherent in EVs. This paper focuses on charging stations and introduces a station-aggregator response resource trading mechanism considering energy–power coupling of response capability. First, the response capacity of charging stations is estimated from both energy and power perspectives. Next, trading behavior models are developed separately for charging stations and aggregators. Finally, a joint resource trading mechanism based on a Stackelberg game is proposed to coordinate responses between these entities. Simulation results validate the effectiveness of the proposed estimation method and the economic advantages of the trading mechanism, thereby realizing a win–win outcome.
Keywords: vehicle-to-grid; electric vehicle; response capacity estimation; trading mechanism (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:18:y:2025:i:11:p:2990-:d:1672670
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