Research On Multi-scale Cooperative Dispatching Strategy For New Energy Systems Based On Game Theory

Under the goal of carbon peaking and carbon neutral,it has become a new form of energy and power industry development to promote energy reform and accelerate the construction of a new energy system with new energy as the mainstay of diversified integration and multienergy interconnection.As an important form of existence in the form of energy reform,the new energy system is considered an effective way to achieve green and low-carbon development,improve energy efficiency of energy system and promote local consumption of new energy.Based on the above background,in the process of research on new energy systems,this paper takes the optimal dispatching of electric energy of multiple micro-grids as the starting point,and develops from the aspects of flexible regulation of load-side resources,multi-agent benefit distribution and multi-energy coordination and interaction,and extends to the problem of energy optimization and management of multiple micro-energy grids systems including electricity,gas and heat in the multi-energy market environment.The main research work content is as follows.Aiming at the uncertain impact of new energy access on the flexible operation of the system,Firstly,the multiple loads incentive demand response(IDR)is classified according to the different speed of responding to power grid dispatching instructions,and then establish a day-ahead-intraday-real time multi-time scale progressive micro-grid system optimization dispatching model,which takes into the dispatching results of a single micro-grid within a micro-grid cluster under different time scales,Finally,the rationality of the established model is analyzed from the aspects of peak shaving and valley filling,power balance,and wind power absorption capacity.Considering the interests and demands of the micro-grid for selling and purchasing electricity within the micro-grid cluster in the mutual assistance of electric energy and the issue of new energy consumption,using the dispatching results obtained in mixed time scale as the base data,setting up two groups of power sales micro-grids and power purchase micro-grids in the system according to the surplus and deficit states of each micro-grid in the real-time dispatching stage,and then constructing an evolutionary game model based on the selection state of power purchase micro-grids,a non-cooperative game model based on the price competition mechanism between power sales micro-grids,and a Stackelberg game model based on the interaction between power purchase and sales micro-grids,and solving the equilibrium strategy of the game model by using a parallel distributed approach.Finally,the advantages of the proposed strategy in the dispatching of micro-grid system are analyzed by different dispatching scenarios.Based on the problem of high penetration of new energy sources and coordination of multiple types of energy sources,a day-ahead-intraday-real time multi-time scale low-carbon dispatching model based on the potential game and the demand response of electricity and heat loads in a multi-energy market environment is developed under the mechanism of electricitygas multi-energy market and carbon trading market.And then,the potential function is introduced in the potential game model,and the parallel distributed solution method is used to solve the optimal solution of the potential function,so as to obtain the equilibrium strategy of the game model.Finally,the effectiveness of the proposed model is demonstrated in terms of low carbon,economy,and game interaction strategy by setting up different dispatching cases.