| High efficiency,clean and low carbon is the mainstream direction of contemporary energy development.Large-scale development of new energy,reducing environmental pollution and reducing carbon emissions have become the transformation goals of China ’s power industry.At present,some areas in China still have problems such as high carbon emissions and abandoning wind and light.In order to solve these problems and challenges,Virtual Power Plant(VPP)is applied.It can achieve complementary advantages through advanced information exchange technology.Therefore,in order to solve the problem of power market economy,this paper studies the situation strategy and income sharing of multiple VPPs participating in the power market game.On the one hand,non-cooperative game can be used to realize the game model of energy merchants,power sellers and users seeking their own interests independently.On the other hand,cooperative bidding and distribution of different participants can be realized through cooperative game,as follows.Firstly,VPP is divided into three parts : power model,distributed energy storage model and load regulation model.The multi-agent VPP models of wind farm,photovoltaic power station,thermal power plant,energy storage equipment,electric vehicle and schedulable load are established respectively.The basic working principle is summarized,and the system block diagram is constructed,which lays a theoretical foundation for the follow-up research of VPP participation in power market operation optimization.Secondly,a multi-VPP energy sharing operation strategy based on master-slave game is proposed,with distribution network operators as leaders and multiple VPPs as followers,solving the interaction strategy of all parties in the pursuit of the optimal goal,and establishing a distributed collaborative optimization model of one master and multiple slaves,so that the intermediate price difference between the upper and lower layers makes the lower multiple VPPs well balance the interests between the upper layer distribution network operators and the lower users.The distributed equilibrium solution method of GA-QP is used to solve the problem to prove the uniqueness of Stackelberg equilibrium.Finally,the effectiveness of the proposed method is verified by case analysis,and the income of the energy supply side and the net consumer income of the energy consumption side are improved.Then,based on NASH negotiation theory,a multi-VPP energy sharing cooperative operation model of one master and multiple slaves is established,which is decomposed into two sub-problems of alliance benefit maximization and cooperative benefit distribution,and ADMM distributed solution method is adopted,so that the privacy of each participant can be protected.In the sub-problem of cooperative income distribution,an asymmetric bargaining method is proposed to quantify the contribution of each participant by nonlinear energy mapping function,and each VPP negotiates with each other based on its energy contribution in cooperation as its bargaining power,so as to achieve fair distribution of cooperation benefits and promote the enthusiasm of VPPs to participate in the next cooperation.Simulation results verify the effectiveness of the proposed method,and the results show that the proposed multiVPP energy sharing method maximizes the benefits of the alliance.By introducing the hybrid game strategy of energy sharing between upper-layer distribution network operators and lower-layer multi-VPP,VPP is guided by price signals to adjust users’ energy consumption plans.It improves the revenue of the energy supply side,reduces the cost of energy consumption,and smoothes the load fluctuation,so that the operating cost of each VPP is effectively reduced,the energy utilization rate is greatly improved,the carbon emission is effectively reduced during the operation of the system,and the national carbon emission reduction is accelerated,laying a technical foundation for achieving the "dual carbon" goal. |
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