基于模糊自适应的双馈异步风力发电机控制策略

Control Strategy of Doubly-Fed Induction Wind Generator Based on Fuzzy Adaptive

为了解决双馈异步风力发电机(doubly-fed induction wind generator,DFIG)不对称电网网侧变换器采用双电流闭环控制策略(double current closed loop control strategy,DCCS)时响应速度慢、动态性能差等问题,提出了根据电流差、电流差变化率在线模糊自适应修正比例积分微分(proportion integration differentiation,PID)控制器参数的Fuzzy PID策略,建立了DFIG网侧变换器数学模型。基于Matlab/Simulink仿真工具,通过模拟电网侧发生不对称电网故障,仿真得到网侧变换器在改进控制策略下的直流侧电压、电流波形。仿真结果表明:与传统DCCS相比,Fuzzy PID策略进一步改善了直流侧电压、电流的稳定性,减少了直流侧电压、电流纹波分量,改进后的控制系统响应速度更快、动态性能更好。

To solve the slow response, poor dynamic performance and other problems in the double current closed loop control strategy （DCCS） for grid-side converter in the asymmetric grid of doubly-fed induction wind generator （DFIG）, this paper proposed the Fuzzy PID （proportion integration differentiation ） strategy for online fuzzy adaptive correction PID controller, and established the mathematical model for DFIG grid-side converter. Through the simulation on the asymmetric fault of power grid with using Maflab/Simulink, the DC voltage, current waveform of grid-side converter in improved control strategy was obtained. The simulation results show that the Fuzzy PID strategy can further improve the stabilities of DC voltage and current, reduce the ripple component of DC voltage and current, and make the control system have faster response and better dynamic performance, compared with the traditional DCCS.