• Aucun résultat trouvé

Fault Diagnosis of an Induction Generator ina Wind Energy Conversion System Using SignalProcessing Techniques

N/A
N/A
Info
Télécharger
Protected

Academic year: 2021

Partager "Fault Diagnosis of an Induction Generator ina Wind Energy Conversion System Using SignalProcessing Techniques"

Copied!
1
0
0

Chargement.... (Voir le texte intégral maintenant)

Texte intégral

(1)

Electric Power Components and Systems

Volume 43, Issue 20, 2015, Pages 2262-2275

Fault Diagnosis of an Induction Generator ina Wind Energy Conversion System Using

SignalProcessing Techniques

Issam ATTOUI; Amar OMEIRI

Abstract: In this article, a contribution to fault diagnosis of an in-duction machine in a wind energy conversion system in closed-loopoperation using a combination between short-time Fourier transformand discrete wavelet transform algorithms is proposed. An on-linefault diagnostic technique based on stator currents analysis of thesquirrel-cage induction generator is proposed to detect and localizeabnormal electrical conditions that indicate, or may lead to, a statoror rotor failure in a squirrel-cage induction generator. This techniquealso permits identification of a fault severity factor and consequentlyhelps to determine the best choice of correctivemaintenance. Further-more, a generalized model of the squirrel-cage induction generatoris used to simulate both the rotor and stator faults, taking iron losses,main flux, and cross-flux saturation into account. The efficiency ofdiagnostic procedure in closed-loop operation of the wind energyconversion system under non-stationary operating conditions is illus-trated with simulation results.

Keywords : fault diagnosis;, Induction Generator;, Wind Energy Conversion System;, Signal Processing Techniques

Centre de Recherche en Technologies Industrielles - CRTI - www.crti.dz

Powered by TCPDF (www.tcpdf.org)

Références

Télécharger maintenant ( PDF - 1 Page - 7.77 KB )

Documents relatifs

An Up-to-Date Review of Low-Voltage Ride-Through Techniques for Doubly-Fed Induction Generator-Based Wind Turbines

As previously mentioned, DFIGs suffer from grid- disturbance sensitivity. The reason behind this problem is related to the fact that the DFIG stator is directly

Wind Energy Conversion Systems Fault Diagnosis Using Wavelet Analysis

The carried out experiments on a 1.1-kW induction generator based test bench have proved that a technique based on variance and energy analysis of wavelet

Advanced Signal Processing Techniques for Fault Detection and Diagnosis in a Wind Turbine Induction Generator Drive Train: A Comparative Study

Advanced Signal Processing Techniques for Fault Detection and Diagnosis in a Wind Turbine Induction Generator Drive Train: A Comparative Study.. IEEE Energy Conversion Congress

Condition Monitoring of Induction Motors Based on Stator Currents Demodulation

Section II presents demodulation techniques used for stator currents processing and section III focuses on the performance of these techniques on simulated data

Fault Diagnosis of an Induction Generator in a Wind Energy Conversion System Using Signal Processing Techniques

Keywords: wind energy conversion systems, induction generator, signal possessing, fault severity factor, faults classification, fault detection and diagnosis.. Received 4 November

Chapter 3 Control of the Doubly-Fed Induction Generator based Wind Turbine Generator System

The bandwidth and controller gains for the current, power, torque and DC-link voltage control loops, tuned for the rated conditions, are presented in Table-3.2.. Table 3.2

Winding Short-Circuit Fault Modelling and Detection in Doubly-Fed Induction Generator based Wind Turbine Systems

This thesis deals with the operation of and winding short-circuit fault detection in a Doubly-Fed Induction Generator (DFIG) based Wind Turbine Generator System

Wind Sensorless Control of Wind Energy Conversion System with PMS Generator

‘MPPT for PM wind generator using gradient approximation’, Energy Conversion and Management 50 (1), pp. ‘Maximum power point tracker of wind energy conversion system’,