A two-layer optimization method with distributed energy stations based on demand response

Considering the cleanliness characteristics of distributed energy under dual-carbon background, this paper proposes a two-layer optimization method with distributed energy stations based on demand response. Firstly, in the upper level planning model, the optimal allocation scheme of distributed energy is determined with the aim of minimizing the comprehensive cost of the station area. Based on the optimal configuration scheme of the upper layer, the lower operating model optimizes the TOU price with the aim of minimizing the operating cost of the station area. Then, aiming at the problem of insufficient accuracy of gull search algorithm, an improved gull search algorithm is proposed to solve it. Levy flight strategy is introduced to enhance the search direction diversity of the algorithm and the ability to jump out of local optimal. Finally, based on the simulation results and comparative analysis of IEEE33-node system, the rationality and effectiveness of the model and solution method are verified.