Demand Response Strategy for Industrial Load Based on Stackelberg Game
In order to guide the large-scale participation of industrial loads in demand response(DR),enhance regulatory flexibility,and ensure the balance of power supply and demand,this paper proposes a demand response(DR)strategy for industrial loads based on Stackelberg game theory.Firstly,an interactive optimization model of industrial parks based on Stackelberg game theory is constructed,proving the uniqueness of the equilibrium solution of the Stackelberg game.Then,genetic algorithms combined with quadratic programming are used to solve the optimal unit incentive for the load aggregator(LA)for each industrial user and the optimal power reduction amount for the industrial user under this incentive.Secondly,with the goal of maximizing the LA's revenue,the most suitable industrial users are selected to participate in the response under DR regulation tasks.The simulation results show that the strategy proposed in this paper can achieve good regulatory effects while ensuring the revenue of LA.
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