Nonlinear adaptive power control for DFIG-based wind turbine under unbalanced network conditions
Nonlinear adaptive power control for DFIG-based wind turbine under unbalanced network conditions
复制标题
DOI：
10.1109/ipemc.2016.7512513
复制
发表时间：
2016-05
期刊：
影响因子：
--
通讯作者：
K. Shi;Chuan‐Ke Zhang;Xin Zhou;Lin Jiang
中科院分区：
文献类型：
--
作者：
K. Shi;Chuan‐Ke Zhang;Xin Zhou;Lin Jiang
本文提出了一种基于扰动观测器的非线性自适应控制，用于基于双馈感应发电机的风力涡轮机（DFIG-WT）。引入扰动状态包括系统非线性、交叉耦合项、不确定性和外部扰动。为每个子系统设计估计扰动状态的扰动观测器，实现系统解耦和最优输出反馈控制。所提出的控制器是在静止αβ参考系中开发的，可以直接用于不平衡操作。通过将所需的参考输入到所提出的控制器中，可以消除不平衡网络条件下的有源功率振荡。在仿真研究中研究了跟踪性能、对参数变化的鲁棒性以及不平衡网络条件下的操作。
This paper presents a perturbation observer based nonlinear adaptive control for doubly-fed induction generator based wind turbines (DFIG-WTs). Perturbation states are introduced to include system nonlinearities, cross-coupling terms, uncertainties, and external disturbance. Perturbation observers that estimate perturbation states are designed for each subsystem the decoupling of system and the optimal output feedback control can be realized. The proposed controller is developed in stationary αβ reference frame that can be directly adopted in unbalanced operations. The active power oscillation elimination under unbalanced network conditions is achieved via inputting required references into the proposed controller. The tracking performance, robustness against parameter variations, and operation under unbalanced network conditions are investigated in simulation studies.