Perturbation Estimation Based Nonlinear Adaptive Control of a Full-Rated Converter Wind Turbine for Fault Ride-Through Capability Enhancement
Perturbation Estimation Based Nonlinear Adaptive Control of a Full-Rated Converter Wind Turbine for Fault Ride-Through Capability Enhancement
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DOI：
10.1109/tpwrs.2014.2313813
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发表时间：
2014-04
影响因子：
6.6
通讯作者：
Jing Chen;L. Jiang;W. Yao;Q. Wu
中科院分区：
文献类型：
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作者：
Jing Chen;L. Jiang;W. Yao;Q. Wu
全额定变流器风力涡轮机的故障穿越能力（FRTC）依赖于电网侧变流器的操作和控制。为了提高风力发电系统的FRTC性能，提出了一种基于非线性自适应控制的网侧变流器控制器。在NAC中定义了集总扰动项，以包括WPGS的所有未知和时变动态以及外部扰动，并且可以通过设计扰动观测器来估计。该方法利用扰动项的估计来补偿真实的扰动，最终实现原非线性系统的自适应反馈线性化控制，而不需要精确的系统模型和完整的状态测量。建议的NAC是一个输出反馈控制和自适应参数的不确定性和未知的非线性WPGS，和时变的外部干扰，包括电网故障，电压骤降和间歇性的风力发电输入。仿真结果验证了该控制器的有效性，并与传统的矢量控制器和反馈线性化控制器进行了比较，结果表明，该控制器在电网电压远低于额定值的情况下仍能提供更好的FRTC。
The fault ride-through capability (FRTC) of a full-rated converter wind turbine relies on the operation and control of the grid-side converter. To enhance the FRTC of the wind power generation system (WPGS), this paper investigates a novel controller for the grid-side converter, based on nonlinear adaptive control (NAC). Lumped perturbation terms are defined in the NAC to include all unknown and time-varying dynamics and external disturbances of the WPGS, and can be estimated by designing perturbation observers. The estimate of the perturbation terms is used to compensate the real perturbations and finally achieve an adaptive feedback linearizing control of the original nonlinear system, without requiring the accurate system model and full state measurements. The proposed NAC is an output feedback control and adaptive to parameter uncertainties and unknown nonlinearities of the WPGS, and time-varying external disturbances including grid faults, voltage dips and intermittent wind power inputs. The effectiveness of the proposed NAC is verified by simulation studies and compared with conventional vector controller and feedback linearizing controller, which show that it can provide better FRTC even though the grid voltage levels are far below their nominal values.