SENSOR FAULTS DETECTION AND ESTIMATION FOR A DFIG EQUIPPED WIND TURBINE

被引：14
|
作者：
Abdelmalek, Samir [1 ]
Rezazi, Sarah [2 ]
Azar, Ahmad Taher [3 ,4 ]
机构：
[1] Hassiba Benbouali Univ Chief, Dept Elect, Fac Technol, Ouled Fares, Algeria
[2] Univ Medea, LBMPT, Medea, Algeria
[3] Benha Univ, Fac Comp & Informat, Banha, Egypt
[4] Nile Univ, 6th Of October City, Egypt
来源：
MATERIALS & ENERGY I (2015) / MATERIALS & ENERGY II (2016) | 2017年 / 139卷
关键词：
Doubly-fed induction generator; Diagnosis faults; sensor faults states variables; estimation faults; RECONFIGURATION;
D O I：
10.1016/j.egypro.2017.11.164
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
Doubly Fed Induction Generator (DFIG) based on wind turbines demand a high degree of reliability and availability and they are characterized by expensive and safety critical maintenance work. This paper deals with a new strategy for detection and estimation of current sensor faults in the stator and rotor of a DFIG. First, a state space model of a DFIG is developed based on voltages and flux equations, which can be used in order to estimate states and to generate residuals by using a Luenberger observer. Then, the residuals results are exploited for faults detection and estimation. Finally, the effectiveness of the developed approach is validated through simulation tests performed by different faults scenarios. (C) 2017 The Authors. Published by Elsevier Ltd.
引用
收藏
页码：3 / 9
页数：7
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