Optimal Scheduling of Multi-park Integrated Energy System Based on Nash Negotiation And Master-slave Game
A peer-to-peer distributed trading strategy based on Nash negotiation&master-slave game is proposed to fully consider the coupling relationship between multi-stakeholder cooperation and multiple energies in multi-park Integrated Energy System(MCIES).Firstly,the MCIES master-slave game dynamic pricing model considering comprehensive demand response is established.Taking the integrated energy system operator of the Park(CIES)as the leader,the dynamic electricity price and heat price are formulated for the lower users.The users respond to the electricity price and heat price for comprehensive demand response.The CIES operator adjusts the unit output according to the user's demand response plan.Secondly,based on Nash negotiation theory,the MCIES double-layer optimization model is established,which includes the dynamic pricing mechanism of master-slave game and CIES cooperative game.Then,the original problem is equivalent to the MCIES benefit maximization subproblem and cooperative benefit maximization subproblem,and alternate direction multiplier method(ADMM)is used to solve the model.Finally,the simulation results show that the proposed strategy can maximize the profits of CIES alliance,distribute the profits reasonably,and minimize the energy cost of users.
multi-community integrated energy systempeer-to-peer tradingNash negotiationmaster-slave gamedynamic internal pricing
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