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绿证-碳交易市场下基于广义纳什博弈的多虚拟电厂点对点交易策略

陈耀威 米阳 马思源 王晓虎 应宜辰 时帅 郑晓亮

浙江电力2025,Vol.44Issue(12):43-54,12.
浙江电力2025,Vol.44Issue(12):43-54,12.DOI:10.19585/j.zjdl.202512005

绿证-碳交易市场下基于广义纳什博弈的多虚拟电厂点对点交易策略

A peer-to-peer trading strategy for multiple virtual power plants based on general-ized Nash game in green certificate-carbon trading markets

陈耀威 1米阳 1马思源 1王晓虎 1应宜辰 1时帅 1郑晓亮2

作者信息

  • 1. 上海电力大学 电气工程学院,上海 200090
  • 2. 安徽理工大学 电气与信息工程学院,安徽 淮南 232001
  • 折叠

摘要

Abstract

The rapid development of green certificate-carbon trading markets has created new opportunities for inno-vation in virtual power plant(VPP)trading models.This paper focuses on peer-to-peer(P2P)trading among mul-tiple VPPs and proposes a two-stage trading strategy based on generalized Nash game.In the first stage,a collabora-tive 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 mul-tiple 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

虚拟电厂/广义纳什博弈/绿证-碳交易/鲁棒优化/机会约束

Key words

VPP/generalized Nash game/green certificate-carbon trading/robust optimization/CCP

引用本文复制引用

陈耀威,米阳,马思源,王晓虎,应宜辰,时帅,郑晓亮..绿证-碳交易市场下基于广义纳什博弈的多虚拟电厂点对点交易策略[J].浙江电力,2025,44(12):43-54,12.

基金项目

国家自然科学基金(52477107) (52477107)

上海市自然科学基金(22ZR1425500) (22ZR1425500)

浙江电力

1007-1881

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