• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

电力建设 ›› 2021, Vol. 42 ›› Issue (1): 67-75.doi: 10.12204/j.issn.1000-7229.2021.01.008

• 虚拟电厂·栏目主持 胡泽春副教授、刘敦楠副教授、王宣元高级工程师· • 上一篇    下一篇

电力市场下的虚拟电厂风险厌恶模型与利益分配方法

李凌昊1, 邱晓燕2, 张浩禹2, 赵有林2, 张楷2   

  1. 1.中国电力科学研究院,北京市 100085
    2.智能电网四川省重点实验室(四川大学),成都市 610065
  • 收稿日期:2020-04-03 出版日期:2021-01-01 发布日期:2021-01-07
  • 通讯作者: 邱晓燕
  • 作者简介:李凌昊(1994),男,硕士,主要研究方向为需求响应、虚拟电厂;|张浩禹(1994),男,硕士,主要研究方向为分布式电源及微网;|赵有林(1993),男,硕士,主要研究方向为综合能源互联网;|张楷(1994),男,硕士,主要研究方向为储能技术。
  • 基金资助:
    四川省科技厅重点研发项目(2017FZ0103)

Risk Aversion Model and Profit Distribution Method of Virtual Power Plant in Power Market

LI Linghao1, QIU Xiaoyan2, ZHANG Haoyu2, ZHAO Youlin2, ZHANG Kai2   

  1. 1. China Electric Power Research Institute,Beijing 100085,China
    2. Sichuan Intelligent Power Grid Key Laboratory ( Sichuan University),Chengdu 610065,China
  • Received:2020-04-03 Online:2021-01-01 Published:2021-01-07
  • Contact: QIU Xiaoyan
  • Supported by:
    Sichuan Science and Technology Department(2017FZ0103)

摘要:

虚拟电厂(virtual power plant, VPP)技术是解决可再生能源并网,帮助柔性负荷和电动汽车等需求侧资源参与电力市场交易的有效途径。文章分析了虚拟电厂中各成员特性和权责,拟定了虚拟电厂运营商对各成员基于价格弹性的调用合同,设计了包含主能量和辅助服务的日前-实时两阶段电力市场交易流程。基于条件风险价值(conditional value at risk, CVaR)建立虚拟电厂风险厌恶模型,文章定量分析了市场交易下各成员的夏普利值和边际期望损失(marginal expected shortfall, MES),并据此给出虚拟电厂内部利益分配方法。算例说明了虚拟电厂能照顾各方利益,并定量分析了不同市场策略下的风险效益,其结果证明了所提方法的有效性。

关键词: 电力市场, 虚拟电厂(VPP), 条件风险价值(CVaR), 夏普利值, 边际期望损失(MES)

Abstract:

Virtual power plant (VPP) technology is an effective way for renewable energy grid-connecting, and is helpful for demand-response resources such as flexible load and electric vehicle to participate in power market. This paper analyzes the characteristics, rights and responsibilities of each member in the virtual power plant,draws up the call contract based on price elasticity for each member, and designs the day-ahead and real-time power market transaction process including main energy and auxiliary services. According to the conditional value-at-risk (CVaR), the risk aversion model of virtual power plant is established, the Shapley value and marginal expected shortfall (MES) of each member are quantitatively analyzed, and the internal benefit distribution method of virtual power plant is given. An example shows that the virtual power plant can take care of the interests of all parties. Also in the example, this paper quantitatively analyzes the risk benefits under different market strategies. The results show the effectiveness of the proposed method.

Key words: power market, virtual power plant(VPP), conditional value-at-risk(CVaR), Sharply value, marginal expected shortfall(MES)

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