Research On Multi-Microgrid Operation Optimization Strategy Based On Cooperative Game

In order to cope with the impact of the greenhouse effect and the shortage of traditional fossil energy,China has proposed the goal of "carbon peaking and carbon neutrality".Increasing the proportion of wind power and photovoltaics on the power generation side is an effective measure to achieve this goal.However,with the continuous advancement of power market reform,the power market has put forward new requirements for the operation optimization of multi-microgrid systems.The traditional system optimization strategy with single-subject decision-making as the main feature is difficult to meet the individual rationality of microgrids within the system.Without a suitable operation optimization strategy,each microgrid will be in a state of out-of-order competition,unable to maintain the stability of the multi-microgrid system.Therefore,in order to promote a more stable,fairer,and more economical operation of the multimicrogrid system,this paper discusses energy sharing and benefit distribution among submicrogrids based on cooperative game theory.The research content of this paper is mainly divided into the following two aspects:(1)Aiming at the problem of power sharing between microgrids,a multi-microgrid system model based on Nash bargaining cooperation game theory is proposed,and on this basis,the impact of the ladder carbon trading mechanism on the operation of the multimicrogrid system is considered.Firstly,taking the cost in the non-cooperative mode as the negotiation break point of Nash bargaining,a cooperative game model is constructed to analyze the cooperative game relationship between microgrids;Secondly,a ladder-type carbon trading framework is added to the cooperative game model to analyze the impact of carbon emissions during the operation of the microgrid;Finally,the alternating direction multiplier method is used to solve the power sharing problem between microgrids.The simulation results show that the proposed Nash bargaining model can reduce the cost of multi-microgrid systems and microgrids,taking into account system rationality and individual rationality;Compared with the traditional fixed carbon price mechanism,the stepped carbon trading mechanism has stronger restrictions on carbon emissions.By setting a reasonable carbon emission interval length and carbon trading benchmark price,it can play a role in guiding system carbon emission;Using the ADMM algorithm to solve the problem of power sharing between microgrids requires only the transaction power and transaction price parameters between microgrids,avoiding the disclosure of other private information.(2)Aiming at the problem of power and heat energy sharing between microgrids under uncertain wind and solar conditions,an operation strategy based on generalized Nash bargaining cooperative game theory is proposed,and the energy sharing and income distribution between microgrids are analyzed.Firstly,due to the strong randomness of wind and solar output,the Latin hypercube method is used to generate a large number of scenes,and the synchronous back substitution reduction method is used to reduce the scenes,which avoids the computational complexity caused by the massive original scenes,thereby improving the robustness of the model.Secondly,the influence of electric hydrogen production technology and electric vehicles on the operation optimization of multi-microgrid is analyzed.Finally,the ADMM algorithm is used to solve the model.The simulation results show that the proposed generalized Nash bargaining model considering economic and environmental increments realizes a fair distribution of system cooperation benefits and a balance between economic benefits and environmental benefits;The integration of electric hydrogen production technology into the microgrid can effectively reduce the carbon emissions and operating costs of the microgrid;electric vehicles enhance the flexibility and dispatchability of the microgrid operation.