Optimized Scheduling of Virtual Power Plant Based on Multiple Target Particle Swarm

An optimal scheduling model that integrates economic development and environmental protection is proposed for a virtual power plant (VPP) system composed of photovoltaic (PV) cells, wind turbines, micro-turbines, and energy storage. The model addresses a multi-objective optimization problem, encompassing both operational costs and pollution treatment expenses under system constraints. Additionally, the model focuses on the optimal dispatch problem in the operation of the VPP. Simulation results demonstrate that the proposed optimal dispatch model for the VPP holds significant guiding value for both economic and environmental objectives.