Parameter Optimization of Doubly-Fed Induction Generator Based on Intelligent Optimization Algorithm

Abstract

Abstract The doubly-fed wind power generator control system consists of multiple PI controllers, each of which directly affects the dynamic characteristics of the wind power system. In this paper, a particle swarm optimization algorithm with improved inertia weight is used to simulate and analyze the control system optimized by algorithm. It is found that the improved characteristic curve has the advantages of small overshoot, fast adjustment speed and short adjustment time. The effectiveness and superiority of the particle swarm optimization algorithm for PI controller parameters optimization.