Parameter-varying modelling and fault reconstruction for wind turbine systems

RENEWABLE ENERGY

卷:116

Article

Shao, Hui¹  Gao, Zhiwei²  Liu, Xiaoxu²  Busawon, Krishna² 

[1] Huaqiao Univ, Coll Informat Sci & Engn, Quanzhou, Peoples R China

[2] Northumbria Univ, Fac Engn & Environm, Newcastle Upon Tyne, Tyne & Wear, England

关键词: Adaptive observer;    Fault diagnosis;    Fault reconstruction;    Parameter-varying modeling;    Wind turbine systems;   

DOI  :  10.1016/j.renene.2017.08.083

来源: Elsevier

【 摘 要 】

In this paper, parameter-varying technique is firstly addressed for modelling a 4.8 MW wind turbine system which is nonlinear in essence. It is worthy to point out that the proposed parameter-varying model is capable of describing a nonlinear real-time process by using real-time system parameter updating. Secondly, fault reconstruction approach is proposed to reconstruct system component fault and actuator fault by utilizing augmented adaptive observer technique with parameter-varying. Different from the offline tuning adaptive scheme, the proposed adaptive observer includes adaptive tuning ability to online adjust the observer based on varying parameter. The effectiveness of the proposed parameter varying modelling and fault reconstruction methods is demonstrated by using a widely-recognized 4.8 MW wind turbine benchmark system. (C) 2017 Elsevier Ltd. All rights reserved.

【 授权许可】

Free