Double Layer Optimization of Grid Connected Microgrids Considering Demand Side Response

Microgrids have become the optimal solution to the problems of grid-connected distributed power sources and power supply in remote areas, but the current research lacks a holistic planning scheme. According to this problem, this paper establishes a grid-connected microgrid model containing wind turbine-PV-diesel and energy storage and proposes a two-layer configuration method for microgrids considering demand-side response. Among them, the upper-layer optimization model takes the lowest total cost as the goal for capacity allocation, and the lower-layer model takes the highest user satisfaction as the goal for operation optimization, and at the same time, the influence brought by the demand-side response is considered in the lower-layer optimization. Finally, the two-layer optimization model is simulated and analyzed, and the overall optimal configuration scheme is obtained by solving the two-layer optimization model using the Gray Wolf Algorithm (GWO), and the simulation results show that the cost of electricity consumption of the users in 24h is reduced by 13.3% and the overall revenue of the microgrid is improved by 1.7 times after considering the demand-side response and the two-layer optimization.