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1.教育部海上风电技术工程研究中心(上海电力大学),上海市 200090
2.国网山东省电力公司利津县供电公司,山东省东营市 257000
Received:10 September 2024,
Revised:2025-02-17,
Online First:27 March 2025,
Published:25 October 2025
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李振坤,张兆柯,李景岳等.面向电能量与调频联合市场的虚拟电厂集群投标策略[J].电力系统自动化,2025,49(20):94-102.
LI Zhenkun,ZHANG Zhaoke,LI Jingyue,et al.Bidding Strategy of Virtual Power Plant Clusters for Joint Market of Electric Power Energy and Frequency Regulation[J].Automation of Electric Power Systems,2025,49(20):94-102.
李振坤,张兆柯,李景岳等.面向电能量与调频联合市场的虚拟电厂集群投标策略[J].电力系统自动化,2025,49(20):94-102. DOI: 10.7500/AEPS20240910006.
LI Zhenkun,ZHANG Zhaoke,LI Jingyue,et al.Bidding Strategy of Virtual Power Plant Clusters for Joint Market of Electric Power Energy and Frequency Regulation[J].Automation of Electric Power Systems,2025,49(20):94-102. DOI: 10.7500/AEPS20240910006.
多虚拟电厂以集群的形式参与联合市场,可增强其市场竞争力。为解决集群在多市场耦合决策中资源分配的问题,兼顾电能量与调频收益,文中提出一种虚拟电厂集群参与电能量与调频市场的投标策略。首先,提出了虚拟电厂与集群运营商之间的内部交易模式,设计了在参与外部联合市场时集群运营商的定价策略及精细化虚拟电厂响应行为的方法;其次,建立了考虑电能量和调频容量交易的虚拟电厂运行成本模型,实现了集群内多种电力产品的交易,为运营商在联合市场中制定投标策略提供了基础;然后,采用价格配额曲线表征调频市场出清结果与投标策略的关系,并以集群收益最大为目标,提出一种风险规避的最优投标策略;最后,对一个拥有3个虚拟电厂的集群进行仿真分析。算例结果表明,所提联合投标策略激发了各虚拟电厂的响应意愿,提高了集群的经济收益。
Multiple virtual power plants (VPPs) participating in the joint market as a cluster can enhance their market competitiveness. To solve the resource allocation of the cluster in the multi-market coupling decision-making and balance the electric power energy and the frequency regulation revenues
this paper proposes a bidding strategy of VPP clusters participating in the electric power energy market and frequency regulation market. Firstly
an internal transaction mode between the VPP and the cluster operator is proposed
and a pricing strategy for the cluster operator and a method for refining the response behavior of the VPP when participating in the external joint market are designed. Secondly
an operation cost model of VPP considering the electric power energy and frequency regulation capacity transaction is established to realize multi-product transactions in the cluster
providing a foundation for the operator to formulate bidding strategies for the joint market. Then
the price quota curve is adopted to characterize the relationship between clearing results of the frequency regulation market and the bidding strategy
and a risk-averse optimal bidding strategy is proposed with the objective of maximizing cluster revenues. Finally
a simulation analysis is conducted on a cluster consisting of three VPPs. The case study results demonstrate that the proposed joint bidding strategy stimulates the response willingness of each VPP and improves the economic revenue of the cluster.
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