S. Han, Shilei Guan, Yan Wu, Z. Bo, Yan Ding, Ji Zhang
{"title":"Application of wavelet analysis theory in the switch cabinet arc protection system","authors":"S. Han, Shilei Guan, Yan Wu, Z. Bo, Yan Ding, Ji Zhang","doi":"10.1109/IGBSG.2018.8393524","DOIUrl":null,"url":null,"abstract":"Considering the shortcomings of malfunction and too long action time of arc protection for traditional 10kV switch cabinet, arc protection system policy is designed in this article based on DSP. This system uses arc voice recognition, arc detection and current detection to identify switchgear arc fault, and has the advantage of strong data processing capability and fast operation. Meanwhile, wavelet analysis theory is applied to fault signal processing and recognition. This can provide reliable, secure fast arc fault protection for switch cabinet. Finally, partial discharge test platform is built to experiment, and the effectiveness and correctness of this strategy is verified by the experiment.","PeriodicalId":356367,"journal":{"name":"2018 3rd International Conference on Intelligent Green Building and Smart Grid (IGBSG)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 3rd International Conference on Intelligent Green Building and Smart Grid (IGBSG)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IGBSG.2018.8393524","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Considering the shortcomings of malfunction and too long action time of arc protection for traditional 10kV switch cabinet, arc protection system policy is designed in this article based on DSP. This system uses arc voice recognition, arc detection and current detection to identify switchgear arc fault, and has the advantage of strong data processing capability and fast operation. Meanwhile, wavelet analysis theory is applied to fault signal processing and recognition. This can provide reliable, secure fast arc fault protection for switch cabinet. Finally, partial discharge test platform is built to experiment, and the effectiveness and correctness of this strategy is verified by the experiment.
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