Research on Microgrid Energy Efficiency Optimization Dispatching System Based on Improved Particle Swarm Optimization Algorithm

A joint optimization dispatching method targeting unit economy is proposed. This paper uses method to conduct research. The purpose is to further improve the accuracy and computational efficiency of numerical simulations. It is planned to use logic diagrams to initialize the group, use adaptive dynamics to adjust inert weighting, add 4 oscillating variables to the group to improve the diversity of the group, and simulate the root state of the differential equation to determine the range of the oscillating variables, so as to achieve early-stage global oscillations and late asymptotic convergence. A multi-criteria PSO algorithm based on fuzzy decision-making is proposed to better meet the requirements of decision-makers. This paper achieves accurate prediction of various parameters in the microgrid and the optimized operation of the microgrid. The case study shows that the proposed design idea is correct and feasible. Adopting the optimal dispatching method of energy storage systems based on dynamic programming can reduce the operating costs of microgrids and achieve the unification of economy, safety and environmental benefits.