Economic Operation Optimization of Office Building Microgrid Based on Improved Particle Swarm Optimization Algorithm

In order to address the high energy consumption issue in office buildings and alleviate the pressure of energy scarcity in china,this paper proposes an optimization and scheduling model for microgrids that is based on improved Particle Swarm Optimization(PSO) Algorithm and tailored to office buildings.The model considers the integration of renewable energy sources,such as solar and wind,along with the increasingly popular electric vehicles, making it more applicable to general scenarios. Taking into account system constraints, the total operating cost of the microgrid is established,which includes maintenance costs of various micro sources, wear costs of the micro sources and costs of grid interaction. Using improved PSO algorithm to solving microgrid optimal scheduling problem. Simulation results demonstrate that this model provides valuable guidance for optimal scheduling for microgrids.