In-Service Wind Turbine DFIG Diagnosis Using Current Signature Analysis

被引:33
作者
Artigao, Estefania [1 ,2 ]
Honrubia-Escribano, Andres [1 ,2 ]
Gomez-Lazaro, Emilio [1 ,2 ]
机构
[1] Univ Castilla La Mancha, Renewable Energy Res Inst, E-13071 Ciudad Real, Spain
[2] Univ Castilla La Mancha, Dept Elect Elect & Control Engn, E-13071 Ciudad Real, Spain
基金
欧盟地平线“2020”;
关键词
Rotors; Doubly fed induction generators; Stators; Circuit faults; Wind turbines; Condition monitoring (CM); current signature analysis (CSA); doubly fed induction generators (DFIG); eccentricity; rotor fault; wind turbine (WT); FED INDUCTION GENERATORS; FAULT-DIAGNOSIS; WOUND-ROTOR; MAINTENANCE; RELIABILITY; GEARBOXES; MACHINES; MOTORS; COMPONENTS; PROGNOSIS;
D O I
10.1109/TIE.2019.2905821
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Operation and maintenance costs of wind power plants represent a significant share of the total expenditure of a wind farm project. It is therefore vital to optimize maintenance activities in order to reduce costs while improving wind turbine reliability and availability. The induction generator is a major contributor to failure rates and downtime of wind turbines, where doubly fed induction generators (DFIGs) are the dominant variable-speed technology employed. Actual data from operating wind turbines is seldom presented in the scientific literature. This paper analyzes two in-service DFIGs from wind turbines operating in a Spanish wind power plant. One of the generators under study reported excessive temperature on the rotor windings, while the other did not. In order to achieve a diagnosis for the reported excess of temperature, current signature analyses were performed on both machines. Fault-related frequency components were identified in the current spectra of the faulty machine, and were compared against the healthy one. A diagnosis was achieved for the faulty machine: Dynamic eccentricity caused by a rotor fault was identified as the cause of the excessive temperature in the rotor windings.
引用
收藏
页码:2262 / 2271
页数:10
相关论文
共 68 条
[1]   A Simple Real-Time Fault Signature Monitoring Tool for Motor-Drive-Embedded Fault Diagnosis Systems [J].
Akin, Bilal ;
Choi, Seungdeog ;
Orguner, Umut ;
Toliyat, Hamid A. .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2011, 58 (05) :1990-2001
[2]  
Alewine K., 2012, IEEE ELECT INSUL MAG, V28
[3]  
Amirat Y., 2010, 2010 XIX International Conference on Electrical Machines (ICEM), P1
[4]  
[Anonymous], 2015, P 2015 AUSTR U POW E
[5]  
[Anonymous], 2010, PROC 5 IET INT C POW
[6]  
[Anonymous], 2005, 2005 IEEE RUSSIA POW
[7]   Wind turbine reliability: A comprehensive review towards effective condition monitoring development [J].
Artigao, Estefania ;
Martin-Martinez, Sergio ;
Honrubia-Escribano, Andres ;
Gomez-Lazaro, Emilio .
APPLIED ENERGY, 2018, 228 :1569-1583
[8]   Current Signature and Vibration Analyses to Diagnose an In-Service Wind Turbine Drive Train [J].
Artigao, Estefania ;
Koukoura, Sofia ;
Honrubia-Escribano, Andres ;
Carroll, James ;
McDonald, Alasdair ;
Gomez-Lazaro, Emilio .
ENERGIES, 2018, 11 (04)
[9]   Current signature analysis to monitor DFIG wind turbine generators: A case study [J].
Artigao, Estefania ;
Honrubia-Escribano, Andres ;
Gomez-Lazaro, Emilio .
RENEWABLE ENERGY, 2018, 116 :5-14
[10]   Advances in Diagnostic Techniques for Induction Machines [J].
Bellini, Alberto ;
Filippetti, Fiorenzo ;
Tassoni, Carta ;
Capolino, Gerard-Andre .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2008, 55 (12) :4109-4126