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面向电能量与调频联合市场的虚拟电厂集群投标策略
作者:
作者单位:

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

摘要:

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。

关键词:

基金项目:

国家自然科学基金资助项目(52177098);上海市科技计划资助项目(21010501200)。

通信作者:

作者简介:

李振坤(1982—),男,博士,教授,主要研究方向:配电网规划运行、分布式电源并网及微网、海上风电。E-mail:lzk021@163.com
张兆柯(2000—),男,硕士研究生,主要研究方向:虚拟电厂优化运行、电力市场交易机制。E-mail:1206441962@qq.com
李景岳(1994—),男,通信作者,工程师,主要研究方向:电力系统规划、智能配电网运行。E-mail:508056382@qq.com


Bidding Strategy of Virtual Power Plant Clusters for Joint Market of Electric Power Energy and Frequency Regulation
Author:
Affiliation:

1.Engineering Research Center of Offshore Wind Technology, Ministry of Education (Shanghai University of Electric Power), Shanghai 200090, China;2.Lijin Power Supply Company, State Grid Shandong Electric Power Company, Dongying 257000, China

Abstract:

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.

Keywords:

Foundation:
This work is supported by National Natural Science Foundation of China (No. 52177098) and Shanghai Science and Technology Planning Project (No. 21010501200).
引用本文
[1]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.
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  • 收稿日期:2024-09-10
  • 最后修改日期:2025-02-17
  • 录用日期:2025-02-18
  • 在线发布日期: 2025-10-24
  • 出版日期: