{"title":"High-frequency spectral analysis of high impedance vegetation faults on a three-wire system","authors":"D. P. Gomes, C. Ozansoy, A. Ulhaq","doi":"10.1109/AUPEC.2017.8282456","DOIUrl":null,"url":null,"abstract":"High Impedance Faults (HIFs) are extensively addressed in the literature due to their safety hazards and fire risks. The consequent small amplitude of fault currents makes it a challenging disturbance to be detected. Vegetation faults are a special case since even very low and brief fault currents can result in fire igniting embers. Such relevance led to the creation of the ‘Vegetation Ignition Testing Program’, a fault experiment program funded by the Victorian Government in response to a series of fires created by faulty electric assets in Australia. This paper aims to illustrate novel features found in the high-frequency voltage signals of the resulted dataset. Performed in a real functioning network, the tests resulted in pertinent findings. They can support future development of HIF detection methods, highlighting the importance of a reliable, fine-tuned, and secure detection method for fire risk mitigation.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Australasian Universities Power Engineering Conference (AUPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AUPEC.2017.8282456","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
High Impedance Faults (HIFs) are extensively addressed in the literature due to their safety hazards and fire risks. The consequent small amplitude of fault currents makes it a challenging disturbance to be detected. Vegetation faults are a special case since even very low and brief fault currents can result in fire igniting embers. Such relevance led to the creation of the ‘Vegetation Ignition Testing Program’, a fault experiment program funded by the Victorian Government in response to a series of fires created by faulty electric assets in Australia. This paper aims to illustrate novel features found in the high-frequency voltage signals of the resulted dataset. Performed in a real functioning network, the tests resulted in pertinent findings. They can support future development of HIF detection methods, highlighting the importance of a reliable, fine-tuned, and secure detection method for fire risk mitigation.