Microgrid Economic Operation Research Based on Improved Particle Swarm Optimization Algorithm

This paper presents a new optimization approach for solving the economic operation with consideration of wind, solar, micro-turbine, fuel cells, battery and load in an energy system. Mathematical models of each micro source and the system model of the microgrid economic operation are established, and the system model is solved by improved particle swarm optimization (PSO) algorithm. The best output of each micro source and energy storage unit and the lowest operating cost comparing by improved PSO is compared with the traditional PSO. The MATLAB simulation indicates the high speed and accuracy of the improved PSO, and verifies the effectiveness of the model.