Multi-Objective Optimization Algorithm Of The Doubly-Fed Induction Generator Active Damping Control Strategy

As an effective way to change wind energy into electrical energy, wind power has got more and more attention and been widely used in the world. With the increase of capacity of the wind power system, its impact on the grid security and stability is more and more obvious. According to the requirement of power grid, DFIG must have Low Voltage Ride through strategy. Someday, High Voltage Ride Through must become one of the grid-connected standards.This article analyzed dynamic response of DFIG during the voltage swell and used active damping control strategy, derived rotor current and rotor voltage under different active damping, voltage swell and slip ratio. Multi-objective optimization function of rotor current and rotor voltage has carried on the simulation analysis using the particle swarm optimization on the Matlab. It calculated the best resistance under different voltage swell, slip radio, its main contents are as follows:1) Establish the steady and transient model of DFIG. And analyzed the grid voltageswell relationship of rotor current, voltage and active damping.2) Introduce the Multi-objective function optimization and function mode.3)Compared with the ordinary particle swarm optimization algorithm.The ergodicity of particle swarm optimization is proposed. Based on the excellent particle library of PSO, dynamic algorithm is proposed.It proved that convergence speed of two ki nds PSO is faster and better by Matlab.