林顺富,高一焱,周波,李东东,顾承红
LIN Shunfu,GAO Yiyan,ZHOU Bo,LI Dongdong,GU Chenghong

• 1:上海电力大学电气工程学院
• 2:英国巴斯大学电子和电气工程系

摘要(Abstract)：

为了应对高比例新能源接入带来的净负荷短时剧烈波动问题，提出一种计及能量共享的VPP（虚拟电厂）参与电能量-FRP（灵活爬坡产品）市场优化运行策略，并通过引入非对称纳什谈判，实现多主体利益分配。首先，考虑风光出力不确定性对净负荷预测的影响，引入一种基于Frank-Copula函数的净负荷场景生成方法；其次，为增强系统灵活调节能力，构建一种基于主从博弈的多VPP参与电能量-FRP市场优化运行策略，同时引入CVaR（条件风险价值理论）量化净负荷预测不确定性可能导致的经济损失，提高系统的抗风险能力；然后，考虑各VPP贡献度，建立基于非对称纳什谈判的多主体利益分配模型，以优化VPP集群内部收益分配；最后，通过算例验证所提方法的有效性和可行性。
To address short-term net load volatility induced by high-penetration renewables, this paper proposes an optimal operation strategy for virtual power plants(VPPs) participating in the energy and flexible ramping product(FRP) market with energy sharing. Additionally, asymmetric Nash bargaining is introduced for benefit allocation among multiple stakeholders. First, in view of the impact of wind and photovoltaic output uncertainty on net load forecasting, a net load scenario generation method based on the Frank-Copula function is introduced. Second, to enhance power system flexibility to accommodate net load volatility, a Stackelberg game-based optimization strategy is developed for multiple VPPs participating in energy-FRP markets. Conditional value-at-risk(CVaR) is also integrated to quantify the economic losses caused by wind and PV forecasting uncertainty, thereby improving system risk resilience. Furthermore, taking into account the contribution of each VPP, a multi-stakeholder benefit allocation model based on asymmetric Nash bargaining is established to optimize the internal benefit allocation within the VPP cluster. Finally, the effectiveness and feasibility of the proposed method are verified through case studies.

关键词(KeyWords)： 虚拟电厂;灵活爬坡产品;主从博弈;能量共享;非对称纳什谈判
VPP;FRP;Stackelberg game;energy sharing;asymmetric Nash bargaining

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金（51977127）;; 上海市教育发展基金会和上海市教育委员会“曙光计划”（20SG52）

作者(Author): 林顺富,高一焱,周波,李东东,顾承红
LIN Shunfu,GAO Yiyan,ZHOU Bo,LI Dongdong,GU Chenghong

DOI: 10.19585/j.zjdl.202510012

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