Improved Particle Swarm Algorithm in the Optimal Capacity Configuration of Micro-grid System

Abstract

The characteristics of random fluctuation and uncontrollable solar illumination, in addition, the matching and coordination between power supply and load in micro grid is more complex in the off-grid type optical photovoltaic/storage/diesel micro grid system. Therefore, solving the problem of energy matching between the two is the primary condition for preserving stability operation of standalone microgrid. In this paper, the mathematical model of various power supply in independent photovoltaic/storage/diesel microgrid system is established, and the system's equivalent annual cost is the minimum economic optimization objective function. Using the simulated annealing (SA) improved particle swarm algorithm (PSO) to obtain the optimal configuration result of microgrid. Verify the SAPSO has the characteristics of global optimization ability.