永磁同步风力发电机的最大功率跟踪复合预测控制

摘要

为解决风力发电系统因工况复杂、干扰源众多造成的常规控制方法效果难以满足高性能要求的难题,提出了一种以最大功率跟踪为目标,综合惯量辨识和模型预测控制的复合预测控制策略.首先通过惯量辨识得到对象的部分未知模型,再通过模型预测对得到的模型滚动优化,并进行反馈校正.最后的仿真结果表明,该复合预测控制策略具有有效的功率输出、较好的系统稳定性和抗干扰能力.%As the problem that wind power system is complex , various types of interference sources , and the con-ventional control methods is not ideal and difficult to meet the requirements of complex working condition control , it proposes a combined predictive control strategy based on maximum power point tracking , which combines iner-tia identification and model predictive control .It uses the inertia identification to obtain part of unknown models of the object , optimizes the model in MPC and the feedback correction .The simulation results show that the com-bined predictive control strategy can not only achieve the maximum power output of the wind power system , but also enhance the stability and anti -disturbance of the system compared with the traditional MPC control ,and im-prove the efficiency of wind power conversion .