陈耀威,米阳,马思源,王晓虎,应宜辰,时帅,郑晓亮
CHEN Yaowei,MI Yang,MA Siyuan,WANG Xiaohu,YING Yichen,SHI Shuai,ZHENG Xiaoliang

• 1:上海电力大学电气工程学院
• 2:安徽理工大学电气与信息工程学院

摘要(Abstract)：

绿证-碳交易市场的蓬勃发展为VPP（虚拟电厂）的交易模式创新带来了契机。为此，聚焦多VPP的P2P（点对点）交易，提出一种基于广义纳什博弈的两阶段交易策略。第一阶段，充分考虑绿证-碳交易收益与成本，并采用机会约束和鲁棒优化的方法来处理新能源出力与电价的不确定性，构建了协同能量管理模型，以实现能量最优调度。第二阶段，构建了基于广义纳什博弈的电能交易价格结算模型，通过求解GNE（广义纳什均衡）来确定电能交易结算价格。通过仿真实验，验证了所提策略在处理新能源出力与电价不确定性、化解多VPP利益冲突及提升综合效益等方面的有效性，P2P交易降低了多VPP系统的总运行成本以及参与P2P交易的VPP运行成本。
The rapid development of green certificate-carbon trading markets has created new opportunities for innovation in virtual power plant(VPP) trading models. This paper focuses on peer-to-peer(P2P) trading among multiple VPPs and proposes a two-stage trading strategy based on generalized Nash game. In the first stage, a collaborative energy management model is established to optimize energy scheduling by integrating green certificate-carbon trading revenues and costs. The model employs chance constrained programming(CCP) and robust optimization to address uncertainties in renewable energy output and electricity prices. In the second stage, an electricity trading settlement model is formulated using generalized Nash game theory, where the generalized Nash equilibrium(GNE) solution determines the final transaction prices. Case studies demonstrate the effectiveness of the proposed strategy in handling uncertainties in renewable output and market prices, resolving conflicts of interest among multiple VPPs, and improving overall economic benefits. Results show that P2P trading reduces both the total system operating costs and individual VPP costs.

关键词(KeyWords)： 虚拟电厂;广义纳什博弈;绿证-碳交易;鲁棒优化;机会约束
VPP;generalized Nash game;green certificate-carbon trading;robust optimization;CCP

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金(52477107);; 上海市自然科学基金(22ZR1425500)

作者(Author): 陈耀威,米阳,马思源,王晓虎,应宜辰,时帅,郑晓亮
CHEN Yaowei,MI Yang,MA Siyuan,WANG Xiaohu,YING Yichen,SHI Shuai,ZHENG Xiaoliang

DOI: 10.19585/j.zjdl.202512005

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