Optimal Scheduling of Microgrid Based on Multi-objective Particle Swarm Optimization Algorithm

Abstract

Safety, stability and efficiency, flexible energy flow, and both economic and environmental benefits are the basis for the low-carbon economic operation of the microgrid. However, with the multi-type distributed power sources and flexible loads of multi-stakeholders connected to the microgrid, the environmental protection and economic dispatch model of the microgrid is established considering the operation cost and environmental cost, and the multi-objective particle swarm optimization (MPSO) algorithm is used to solve the optimization model. The effectiveness of the model is verified by Matlab simulation and algorithm comparison, which provides a theoretical basis for the formulation of optimal scheduling strategy for microgrid.