基于MPCC-PIγDμ控制的直驱永磁风力发电系统

Direct-driven Permanent Magnet Wind Power Generation System Based on MPCC-PIγDμControl

为实现多变风况下直驱永磁风力发电系统的稳定、高效运行,提出一种模型预测电流控制MPCC(model predictive current control)与分数阶比例-积分-微分PIγDμ(fractional-order proportional-integral-derivative)相结合的策略。首先,利用MPCC两步预测法建立风力发电机组的电流预测模型,得到不同控制集下的电流预测值,评估确定出满足代价函数最小所对应的最优电流预测值。然后,设计PIγDμ控制器,将最优电流预测值和参考电流作为输入参数,经PIγDμ控制器输出得到最优控制电压矢量,实现对系统进行控制。最后,建立仿真模型,与双闭环PI和传统MPCC控制策略进行对比,验证所提控制策略的有效性和优越性。

To realize the stable and efficient operation of a direct-driven permanent magnet wind power generation sys⁃tem under variable wind conditions,a strategy which combines model predictive current control(MPCC)with fractionalorder proportional-integral-derivative(PIγDμ)is proposed.First,the MPCC two-step prediction method is used to estab⁃lish a current prediction model of wind turbines,the current prediction values under different control sets are obtained,and the optimal current prediction value corresponding to the minimum cost function is determined by evaluation.Then,a PIγDμcontroller is designed,and the optimal current prediction value and reference current value are taken as input parameters.The optimal control voltage vector is obtained through the output from the PIγDμcontroller,thus realiz⁃ing the control of the system.Finally,simulation models are established and compared with the double closed-loop PI and traditional MPCC control strategies,which verify the effectiveness and superiority of the proposed control strategy.