{"title":"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","authors":"Hamza Sabir, M. Ouassaid, Nabil Ngote","doi":"10.1109/IRSEC.2018.8703006","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":186042,"journal":{"name":"2018 6th International Renewable and Sustainable Energy Conference (IRSEC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Diagnosis of Rotor Winding Inter-turn Short Circuit Fault in Wind Turbine Based on DFIG using Hybrid TSA/DWT Approach\",\"authors\":\"Hamza Sabir, M. Ouassaid, Nabil Ngote\",\"doi\":\"10.1109/IRSEC.2018.8703006\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":186042,\"journal\":{\"name\":\"2018 6th International Renewable and Sustainable Energy Conference (IRSEC)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 6th International Renewable and Sustainable Energy Conference (IRSEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IRSEC.2018.8703006\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 6th International Renewable and Sustainable Energy Conference (IRSEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRSEC.2018.8703006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.