Research On Multi-Objective Operation Method Of Integrated Energy System Based On Game Theory

With the continuous advancement of China's energy revolution and the proposal of the goal of "carbon peak,carbon neutral" in 2020,it has become an irresistible trend for new energy to shift from supplementary power supply to main power supply.Energy system is facing the pressure of ensuring energy security,improving energy efficiency and promoting new energy consumption.Taking energy demand as the core,the Integrated Energy System(IES)of solar energy,wind energy,geothermal energy and fossil energy in the region is integrated through digitization and informatization,which brings a new solution to promote energy coupling and complementarity and improve energy utilization efficiency,and becomes one of the main directions of current energy system development.At the same time,the power system reform provides an opportunity for the user side resources to participate in the power trading.The integrated energy system with distributed renewable energy can participate in the power trading according to its own needs,so as to maximize its own economic benefits.However,the flexibility of integrated energy system is very strong,and there is an interactive relationship between trading power and system operation scheme,which is difficult to describe by traditional operation optimization methods.Therefore,it is necessary to introduce the idea of game theory into the operation optimization of the integrated energy system,so as to improve the consumption of renewable energy and ensure the economic benefits of the operation of the integrated energy system.Firstly,the basic theory of operation optimization of integrated energy system based on game theory is analyzed.Firstly,this paper introduces the basic architecture of the integrated energy system,and makes a brief analysis from three aspects of energy input,energy conversion and energy output.Secondly,considering the multi-objective characteristics of the integrated energy system,this paper expounds the multi-objective optimization theory.Finally,this paper summarizes the game theory methods,and introduces the main content of this paper based on the game theory.Secondly,the multi-objective operation optimization method of integrated energy system is studied.Firstly,the output mathematical model of main energy supply equipment of integrated energy system is constructed,including energy production equipment,energy conversion equipment and energy storage equipment.Secondly,a multi-objective function is proposed to optimize the operation of the integrated energy system,including system operation cost and environmental cost.Thirdly,the constraints of the integrated energy system operation optimization model are set,including load balance constraints,system equipment operation constraints,environmental constraints,etc.Finally,through the comparison of common multi-objective algorithms,the multi-objective operation algorithm of the integrated energy system is determined.Thirdly,a multi-objective operation method of integrated energy system based on non cooperative game is proposed.Firstly,a non cooperative master-slave game framework of multiple integrated energy systems is constructed,in which multiple integrated energy systems constitute system operators to trade with regional power grid.Secondly,the master-slave game model between the system operator and the integrated energy system is established.The utility function of the operator is the maximum profit,and the utility function of the integrated energy system is the economic cost and the environmental cost.Finally,according to the characteristics of the master-slave game model between the system operator and the integrated energy system,a non cooperative master-slave game model algorithm is proposed.The upper operator solves the internal purchase and sale price,and the lower integrated energy system determines the multi-objective operation scheme.Fourthly,the simulation results of multi-objective operation optimization of integrated energy system based on master-slave game are discussed.Firstly,the basic data parameters of the system are determined,two different operation scenarios are set,and the process of game optimization is given.Secondly,the behaviors of operators and integrated energy system in different scenarios are simulated,and the operation optimization results of master-slave game are given,including operator pricing strategy,power trading results and multi-objective operation optimization scheme of integrated energy system.Finally,the simulation results of two different scenarios are compared and analyzed,and the changes of efficiency function in different scenarios are discussed from two aspects of economic benefits and environmental costs.It is proved that the game optimization can not only reduce the total operation cost of the system,but also improve the environmental benefits.