摘要
为分析多个虚拟电厂间协同管理经济效益及低碳效益问题,提出了一种考虑绿证-碳交易的多虚拟电厂混合博弈优化调度方法。首先,建立混合博弈优化框架,分析电网运营商和虚拟电厂联盟间博弈关系。然后,构建以电网运营商为领导者、虚拟电厂为跟随者的混合博弈优化模型,并基于纳什谈判理论,将虚拟电厂成本最小化等效为联盟效益最大化和合作收益分配2个子问题。最后,将二分法和交替方向乘子法相结合求解混合博弈模型。算例分析表明所提模型能够降低虚拟电厂联盟的总成本及碳排放量,协调联盟间的运行,提升联盟经济性及低碳性,实现了联盟成员合作收益公平分配。
In order to analyze the economic benefits and low-carbon benefits of collaborative management among multiple virtual power plants,the paper propose a optimization scheduling method of mixed game for the multiple virtual power plants considering the green certificate-carbon trading mechanism.Firstly,an optimization framework of the mixed game is established to analyze the game relationship between power grid operators and virtual power plant alliances.Then a mixed game optimization model with the power grid operators as leaders and the virtual power plants as followers is constructed.Based on Nash bargaining theory,the cost minimization of the virtual power plant is equivalent to the two sub-problems of alliance benefit maximization and cooperative profit allocation.Finally,the mixed game model is solved by combining the dichotomy method and the alternating direction multiplier method.The example analysis shows that the proposed model can reduce the total cost and the carbon emission of the virtual power plant alliance,coordinate the operation among the alliances,improve the economy and low carbon of the alliance,and realize the fair allocation of the benefits of cooperation between the alliance members.
作者
徐慧慧
田云飞
赵宇洋
柴宜
方茜
梁宁
XU Huihui;TIAN Yunfei;ZHAO Yuyang;CHAI Yi;FANG Qian;LIANG Ning(Institute of Economic Technology,State Grid Gansu Electric Power Company,Lanzhou 730050,China;Faculty of Electric Power Engineering,Kunming University of Science and Technology,Kunming 650500,China)
出处
《智慧电力》
北大核心
2024年第3期1-7,16,共8页
Smart Power
基金
国家自然科学基金资助项目(52167010)
国网甘肃省电力公司科技项目(52273023000J)。
关键词
混合博弈
纳什谈判
点对点交易
虚拟电厂
优化调度
mixed game
Nash bargaining
P2P electricity trading
virtual power plant
optimized scheduling
