Integrated Energy Optimization and Dispatch of a Park Microgrid with Electric Vehicles

This paper focuses on a park microgrid with electric vehicles, establishing a comprehensive economic cost dispatch model that includes both operational costs and environmental management costs. A Simulated Annealing-Particle Swarm Optimization algorithm is proposed to address this model. Through case study simulations, the integrated energy optimization and dispatch strategies of microgrids with electric vehicle clusters under different scenarios are analyzed. The results indicate that the participation of electric vehicle clusters in microgrid dispatch can significantly reduce economic costs, with strategies for the orderly charging of electric vehicles further optimizing the microgrid's scheduling efficiency. Compared to traditional particle swarm optimization, the SA-PSO algorithm demonstrates superior solution quality and convergence.