【摘要】 风电大规模并网导致系统惯量严重降低，恶化了系统的频率稳定性。针对上述问题，该文结合非线性预测理论以及扩张状态观测理论(extended state observer,ESO)提出双馈风机参与电网频率调节的短期频率支撑方法。首先，建立与系统频率偏差和风机转速相关的目标状态方程，并计算不同控制目标量对应的预测阶；其次，根据非线性预测理论计算预测矩阵，对未来时刻状态跟踪误差进行预测，并求得非线性控制律；最后，引入扩张状态观测器对非线性控制律中的复杂李导数运算进行观测，减轻控制律所需的计算负担。通过MATLAB/SIMULINK搭建含风电系统进行仿真验证，结果表明，所提方法有效地改善了电网的频率响应，并且无需单独设计转速恢复环节，能够实现风机转速的自恢复。更多还原

【Abstract】 The large-scale integration of wind power leads to a serious reduction of system inertia, which deteriorates the frequency stability of the system. For the above problems, a short-term frequency support scheme for doubly-fed wind turbines participating in grid frequency regulation is proposed based on nonlinear prediction theory and extended state observer(ESO) theory. First, the target state equation related to system frequency deviation and wind turbine speed is established, and the corresponding prediction order of different control objectives is calculated. Then, according to the nonlinear prediction theory, the prediction matrix is calculated to predict the state tracking error at the future time, and the nonlinear control law is obtained. Finally, the ESO is introduced to observe the complex Lie derivative operation in the nonlinear control law, which reduces the computational burden required for the control law. The wind power system is built by MATLAB/SIMULINK for simulation verification. The results show that the proposed nonlinear scheme can effectively improve the frequency response of the power grid, and realize the self-recovery of the wind turbine speed without designing the speed recovery link separately.更多还原