基于TSA/DWT混合方法的DFIG风电机组转子绕组匝间短路故障诊断

Hamza Sabir, M. Ouassaid, Nabil Ngote
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引用次数: 6

摘要

本文设计了一种风电系统双馈感应发电机转子匝间短路故障的诊断技术。目的是通过适当的维护,改善DFIG的监测系统,加强运行,提高可靠性,以最大限度地提取风能。在此背景下,建立了一种基于时间同步平均(TSA)方法和离散小波变换(DWT)相结合的高级维护策略。在MatLab和SIMULINK环境中对所提出的策略进行了仿真验证。对转子的故障状态和健康状态进行了各种场景的测试。仿真结果验证了该方法的可靠性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Diagnosis of Rotor Winding Inter-turn Short Circuit Fault in Wind Turbine Based on DFIG using Hybrid TSA/DWT Approach
In this paper, a diagnostic technique for the detection of rotor inter-turn short circuit faults in Doubly Fed Induction Generators (DFIGs) for wind power systems is designed. The aim is to improve the monitoring system of the DFIG through an appropriate maintenance, enhance operation and increase the reliability to extract the maximum of the wind energy. In this context, an advanced maintenance strategy based on the combination of the Time Synchronous Averaging (TSA) method and Discrete Wavelet Transform (DWT) is established. The proposed strategy has been implemented and verified using simulations built in MatLab O SIMULINK environment. Various scenarios have been conducted for both faulty and healthy states of the rotor. The simulation results demonstrate the reliability and the efficiency of the proposed approach.
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