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1.国网电力科学研究院有限公司(南瑞集团有限公司),江苏省南京市 211106
2.国电南瑞南京控制系统有限公司,江苏省南京市 211106
Received:10 May 2024,
Revised:2024-11-25,
Published Online:18 April 2025,
Published:10 July 2025
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吉斌,李永刚,昌力等.面向发电主体的超额收益监测及分析方法[J].电力系统自动化,2025,49(13):145-155.
JI Bin,LI Yonggang,CHANG Li,et al.Monitoring and Analysis Methods for Excess Revenue of Power Generation Entities[J].Automation of Electric Power Systems,2025,49(13):145-155.
吉斌,李永刚,昌力等.面向发电主体的超额收益监测及分析方法[J].电力系统自动化,2025,49(13):145-155. DOI: 10.7500/AEPS20240510001.
JI Bin,LI Yonggang,CHANG Li,et al.Monitoring and Analysis Methods for Excess Revenue of Power Generation Entities[J].Automation of Electric Power Systems,2025,49(13):145-155. DOI: 10.7500/AEPS20240510001.
为保障电力现货市场公平有序运行,实现电力市场有效运营监管,需要探索发电主体的超额收益测算方法。结合电力市场运营监管要求,提出了电力市场运营监管“三角”框架,明晰了市场监管与信息发布、机制完善之间的关系。从“市场结构-主体行为-电量收益”3个方面,设计了省级电力现货市场发电主体的单位电量超额收益测算流程,并构建了静态市场结构、发电主体动态市场行为,以及跨市场的超额收益监测量化模型。在此基础上,提出了能够准确识别发电主体行使市场力和测算其所获超额收益的方法。最后,依托中国某省级电力现货市场试运行数据,测算市场结构、寡头发电主体市场力以及跨市场的单位电量超额收益,验证了所提方法的有效性。
To ensure the fair and orderly operation of electricity spot market and to realize the effective operation and supervision of electricity market
it is necessary to explore the calculation methods for the excess revenues of power generation entities. In line with the operation and supervision requirements of electricity market
a “triangular” framework for the operation and supervision of electricity market is proposed to clarify the relationship between market supervision
information dissemination
and mechanism improvement. From the three aspects of “market structure-entity behavior-electricity quantity revenue”
a process for calculating the excess revenue per unit of electricity quantity of power generation entities in provincial electricity spot market is designed
and a monitoring and quantification model for static market structure
dynamic market behaviors of power generation entities
and cross-market excess revenues is constructed. On this basis
a calculation method that can accurately identify power generation entities using market power and obtaining the excess revenues. Finally
relying on the trial operation data from a provincial electricity spot market in China
the calculation of market structure
market power of oligopolistic power generation entity
and cross-market excess revenue per unit of electricity quantity is conducted to verify the effectiveness of the proposed method.
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