Parameter-varying modelling and fault reconstruction for wind turbine systems

Hui Shao; Zhiwei Gao; Xiaoxu Liu; Krishna Busawon

doi:10.1016/j.renene.2017.08.083

Parameter-varying modelling and fault reconstruction for wind turbine systems

Hui Shao, Zhiwei Gao, Xiaoxu Liu, Krishna Busawon

Research output: Contribution to journal › Article › peer-review

52 Citations (Scopus)

61 Downloads (Pure)

Abstract

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.

Original language	English
Pages (from-to)	145-152
Number of pages	8
Journal	Renewable Energy
Volume	116
Issue number	B
Early online date	29 Aug 2017
DOIs	https://doi.org/10.1016/j.renene.2017.08.083
Publication status	Published - Feb 2018

Keywords

Adaptive observer
Fault diagnosis
Fault reconstruction
Parameter-varying modeling
Wind turbine systems

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.renene.2017.08.083

A Copy of Manuscript 20171005Accepted author manuscript, 1.79 MB

Cite this

@article{0a0f579733d544ef9d99d78bc8eee279,

title = "Parameter-varying modelling and fault reconstruction for wind turbine systems",

abstract = "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.",

keywords = "Adaptive observer, Fault diagnosis, Fault reconstruction, Parameter-varying modeling, Wind turbine systems",

author = "Hui Shao and Zhiwei Gao and Xiaoxu Liu and Krishna Busawon",

year = "2018",

month = feb,

doi = "10.1016/j.renene.2017.08.083",

language = "English",

volume = "116",

pages = "145--152",

journal = "Renewable Energy",

issn = "0960-1481",

publisher = "Elsevier",

number = "B",

}

TY - JOUR

T1 - Parameter-varying modelling and fault reconstruction for wind turbine systems

AU - Shao, Hui

AU - Gao, Zhiwei

AU - Liu, Xiaoxu

AU - Busawon, Krishna

PY - 2018/2

Y1 - 2018/2

N2 - 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.

AB - 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.

KW - Adaptive observer

KW - Fault diagnosis

KW - Fault reconstruction

KW - Parameter-varying modeling

KW - Wind turbine systems

UR - https://www.scopus.com/pages/publications/85029536438

U2 - 10.1016/j.renene.2017.08.083

DO - 10.1016/j.renene.2017.08.083

M3 - Article

SN - 0960-1481

VL - 116

SP - 145

EP - 152

JO - Renewable Energy

JF - Renewable Energy

IS - B

ER -

Parameter-varying modelling and fault reconstruction for wind turbine systems

Abstract

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this