浙江电力

2026, v.45;No.364(08) 3-13

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面向阻塞多发电力系统的市场力监测及缓解方法
A market power monitoring and mitigation method for congestion-prone power systems

吴华华,徐立中,唐琦雯,柏彤,刘子杰,李知艺
WU Huahua,XU Lizhong,TANG Qiwen,BAI Tong,LIU Zijie,LI Zhiyi

摘要(Abstract):

随着高比例新能源的接入,电网阻塞多发,传统的全局结构市场力监测指标难以捕捉局部化、阻塞驱动的市场力行为。基于此,提出了一种阻塞多发系统的市场力监测及缓解机制。首先,通过局部市场力结构监测,对待测试断面下的发电厂进行SPS(局部单寡头)测试,实现从电网物理约束出发的风险定位。接着,设计市场力行为监测体系,识别SPS机组的策略性报价行为。最后,通过事后超额获利测试与回收,将机组的超额收益返回市场。在浙江电网市场数据和算例的验证下,该方法能够捕捉到关键机组在系统阻塞期间的高价申报与短期抬价行为并据此采取相应的缓解措施,具有较强的可操作性。
With the increasing penetration of renewable generation, transmission congestion has become more frequent, rendering conventional system-wide structural market power indicators inadequate for detecting localized market power arising from network congestion. To address this challenge, this paper proposes a market power monitoring and mitigation mechanism for congestion-prone power systems. First, a localized structural market power monitoring is performed by conducting structural pivotal supplier(SPS) tests for generators associated with the transmission interface under evaluation, enabling the identification of market power risks arising from physical network constraints. Subsequently, a behavioral market power monitoring system is developed to detect strategic bidding behavior by SPS units. Finally, an ex-post excess profit testing and clawback mechanism is introduced to recover excessive revenues and return them to the market. Validation using market data and case studies from the Zhejiang power grid demonstrates that the proposed approach effectively identifies strategic behaviors, including highprice bidding and short-term bid price inflation, during periods of network congestion and implements corresponding mitigation measures. The results further confirm its strong practical applicability.

关键词(KeyWords): 电力市场;市场力监测;市场力缓解;断面阻塞
electricity market;market power monitoring;market power mitigation;transmission interface congestion

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金(52477132)

作者(Author): 吴华华,徐立中,唐琦雯,柏彤,刘子杰,李知艺
WU Huahua,XU Lizhong,TANG Qiwen,BAI Tong,LIU Zijie,LI Zhiyi

DOI: 10.19585/j.zjdl.202608001

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