{"title":"基于小波分析的低压配电网小电流接地故障定位研究","authors":"Mei Liang, Hengyu Zhou, Shengle Wang","doi":"10.1109/ITNEC48623.2020.9085118","DOIUrl":null,"url":null,"abstract":"Most of the 3-66KV medium voltage distribution networks in China are grounded through arc suppression coil. In order to improve the accuracy of fault location, this paper constructs a fault line selection scheme based on the modulus maximum singularity detection principle of wavelet transform for the characteristics of a large number of high-frequency feature information in the transient process of single-phase grounding fault of small current grounding system. The simulation analysis of typical faults shows that the fault line selection method proposed in this paper can quickly and accurately select fault lines.","PeriodicalId":235524,"journal":{"name":"2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on fault location of low voltage distribution network with small current grounding based on wavelet analysis\",\"authors\":\"Mei Liang, Hengyu Zhou, Shengle Wang\",\"doi\":\"10.1109/ITNEC48623.2020.9085118\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Most of the 3-66KV medium voltage distribution networks in China are grounded through arc suppression coil. In order to improve the accuracy of fault location, this paper constructs a fault line selection scheme based on the modulus maximum singularity detection principle of wavelet transform for the characteristics of a large number of high-frequency feature information in the transient process of single-phase grounding fault of small current grounding system. The simulation analysis of typical faults shows that the fault line selection method proposed in this paper can quickly and accurately select fault lines.\",\"PeriodicalId\":235524,\"journal\":{\"name\":\"2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)\",\"volume\":\"60 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITNEC48623.2020.9085118\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITNEC48623.2020.9085118","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on fault location of low voltage distribution network with small current grounding based on wavelet analysis
Most of the 3-66KV medium voltage distribution networks in China are grounded through arc suppression coil. In order to improve the accuracy of fault location, this paper constructs a fault line selection scheme based on the modulus maximum singularity detection principle of wavelet transform for the characteristics of a large number of high-frequency feature information in the transient process of single-phase grounding fault of small current grounding system. The simulation analysis of typical faults shows that the fault line selection method proposed in this paper can quickly and accurately select fault lines.