Research On Economic Dispatching And Multi-agent Interactive Operation Strategy Of Park Integrated Energy System

With the energy crisis and environmental pollution becoming more and more serious and the proposal of the dual carbon goal of "carbon peaking and carbon neutralization”,it has become an inevitable trend to accelerate energy transformation and develop a clean and efficient energy system.Currently,most papers mainly study the optimal operation of integrated energy system with centralized single agent,and there is less research on the optimal operation strategy of multi-agent interaction in power market.With the reform of the power market and the gradual opening of the energy market,more and more independent subjects begin to participate in the optimal operation of integrated energy system.Under the market game mechanism,each agent optimizes its own strategies with the goal of maximizing their own interests.In this context,it is an urgent problem to formulate the operation strategy of integrated energy system in line with the interests of all agents.Firstly,based on the concept of multi energy complementarity and CCHP technology,this paper constructs the topology of the park integrated energy system,briefly expounds the working principle of the main energy supply equipment of the system,and gives the mathematical model of its output.Based on the integrated demand response strategy of user side,the mathematical model of cooling,heating and power load is established;Considering the randomness of renewable energy power generation,the stochastic optimization problem with uncertainty constraints is solved by chance constrained programming According to the system stochastic optimization model,the simulation results of different scenarios show that the proposed strategy can improve the economy and reliability of the system.Secondly,under the background of energy marketization,a bilateral game model of dynamic interaction between energy retailer,energy suppliers and load aggregators is established based on game theory.The existence of equilibrium solution of the constructed multi-agent game interaction model is proved by mathematical derivation.An example is used to simulate and analyze the energy trading prices and the income of each agent under the game framework;Considering the virtual energy storage characteristics of electric vehicles,the entity energy storage devices are combined to form an energy storage service provider,and a multi-agent game framework based on source,network,load and storage is constructed.Through a simulation example,the impact of energy storage service provider on energy trading and the income of each agent is analyzed.Finally,the Grey Wolf algorithm nested linear and quadratic programming distributed algorithm is used to solve the system operation optimization strategy of the two game models.The simulation results show that the algorithm constructed in this paper has good convergence and can quickly solve the equilibrium solution of the game model;Through price factors,energy retailer guide users to change their energy consumption habits and promote the output of controllable units of energy suppliers,so that users can use energy more economically and obtain higher energy consumption satisfaction,so as to achieve the purpose of peak cutting and valley filling;With the addition of energy storage equipment,it can reduce the power interaction between the system and the power grid,improve the energy balance of the integrated energy system and the profit model of energy retailer,and increase their profits.Compared with the traditional vertical integration centralized optimization strategy,the horizontal interactive multi-agent game model constructed in this paper is more in line with the trading rules of the energy market and lays a foundation for the construction of the power market.