Multi-objective optimization of community flexible load scheduling with tripartite participation

Under the background of high proportion of new energy grid connection and the deep opening of the demand side response market, it is a general trend for multi-aggregators that bring together large-scale flexible loads to participate in the power market dispatching. It is of great significance to guide power users and aggregators to respond to dispatching needs in an orderly manner to increase the proportion of new energy consumption and promote energy conservation and emission reduction. In this paper, a non-cooperative game model is used to construct a multi-objective optimization model with the minimum peak-valley difference of the distribution network, the maximum profit of the aggregator and the minimum cost of the user's electricity consumption. The CPLEX/GUROBI is used to solve the three-party coordinated scheduling strategy. The distribution of flexible loads before and after optimization and the power exchange of various flexible loads reflect the effectiveness of electricity price guiding users to participate in demand response. The results of tripartite benefits and cooperation benefits show that the cooperation between aggregators and power users is conducive to stimulating the market participation of demand side response.