Master-slave Game Optimal Scheduling Strategy of Integrated Energy System Considering Integrated Demand Response
In the context of facing the increasing number of stakeholders and the physical coupling of the regional integrated energy system,an innovative scheduling strategy is proposed,which takes into account the demand response of multiple parties and adopts a multi-subject game for optimization. First,the actual characteristics of different loads in each microgrid and the response behaviors of users are studied in depth,and a corresponding multi-load integrated demand response model is established. Then,a multi-subject master-slave game model is constructed by taking the system operator as the upper layer leader and the microgrid load aggregator,centralized energy storage plant and wind farm as the lower layer followers. In the upper layer model,the goal is to maximize the system operator's revenue from energy sales,and to determine the unit price of energy sales and compensation price of each microgrid through optimization.And in the lower layer model,it is committed to minimizing the comprehensive cost of all parties,and determines the energy supply of wind farms,the energy output between multiple devices in each microgrid,and the charging and discharging strategies of energy storage plants through optimization.In order to solve this complex problem,the particle swarm algorithm is finally used to solve the upper layer subject model and the Cplex solver is used to solve the lower layer slave model,which interact with each other to finally obtain the equilibrium strategy after the game.
master-slave gameoptimized operationintegrated demand responseintegrated energy system
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维普
