基于鲁棒模型预测控制的风火储联合系统调频优化策略

与传统火电系统参与调频相比，利用风火储联合系统进行调频在风电消纳率、节能减排等方面有天然的优势。然而，风电的不确定性波动对风火储联合系统参与调频的策略制定提出了挑战。因此，文章提出了一种基于鲁棒模型预测控制的风火储联合系统参与频率调节的优化策略。根据风火储联合系统参与一次调频的工作原理，搭建了含RMPC的风火储联合系统调频框架；分别建立风、火、储的响应模型，计及各元件运行限制与系统一次调频功率平衡等多重约束，构建以风电机组出力不确定性最大的情况下使系统调频成本最低的双层鲁棒优化模型；采用强对偶理论实现min-max双层鲁棒优化模型的单层化，同时采用前向差分法对风电出力和负荷波动的不确定性约束进行线性化改进，实现模型求解的加速；在MATLAB/Simulink中对所提的优化策略进行算例求解分析，证明了所提方法的调频效果具有显著提升。

Frequency regulation optimization strategy for wind-thermal-storage joint system based on robust model predictive control

Compared with traditional thermal power systems participating in frequency regulation, utilizing the wind-Thermal-storage joint system for frequency regulation has natural advantages in wind power absorption, energy conservation and emission reduction. However, the uncertainty and volatility of wind power pose challenges to the strategy formulation of wind-Thermal-storage joint system in participating in frequency regulation. Therefore, this article proposes an optimization strategy for wind-Thermal-storage joint system participating in frequency regulation based on robust model predictive control. Firstly, based on the working principle of wind-Thermal-storage joint system participating in primary frequency regulation, a frequency regulation framework containing RMPC based controller was constructed. Then, establishing the response models of wind, thermal, and energy storage, taking into account multiple constraints including operating limits of each component and power balance in primary frequency regulation of the system, a two-layer robust optimization model was built to minimize the frequency regulation cost of the system under the maximum uncertainty of wind power output. After that, to accelerate the model solution, the strong duality theory was used to achieve the single-layering of the min-max two-layer robust optimization model and the uncertainty constraints of wind power output and load fluctuation were linearized. Finally, several cases were carried out in MATLAB/Simulink to verify the effectiveness of the proposed optimization strategy which can significantly improve the frequency regulation effect.