{"title":"基于 DWTERT 的新型配电网络故障定位系统","authors":"Roshni Rahangdale, Archana Gupta","doi":"10.2174/0126662558269531231218052251","DOIUrl":null,"url":null,"abstract":"\n\nA new DWT-ERT-based fault location method is suggested in the IEEE test feeder.\n\n\n\nA new DWT-ERT based fault location method is suggested in IEEE Test Feeder.\n\n\n\nThe fault location approach in the distribution network has been proposed in this pa-per that utilizes the discrete wavelet transform (DWT) and ensemble regression tree (ERT).\n\n\n\nThe fault location approach in the distribution network was proposed in this paper utilises the discrete wavelet transform (DWT) and ensemble regression tree (ERT).\n\n\n\nThe fault location methodology has been validated by simulations conducted on an IEEE 13 bus node test feeder.\n\n\n\nThe fault location methodology is validated by simulations conducted on an IEEE 13 bus node test feeder.\n\n\n\nThe results show that the suggested solution has low compute burden and memory re-quirements, and is unaffected by system and fault situations.\n\n\n\nIn this study, the fault location approach for the distribution system employing DWT and ERT has been proposed.\n","PeriodicalId":36514,"journal":{"name":"Recent Advances in Computer Science and Communications","volume":"348 2","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Novel DWT-ERT-based Fault Location for Distribution Network\",\"authors\":\"Roshni Rahangdale, Archana Gupta\",\"doi\":\"10.2174/0126662558269531231218052251\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n\\nA new DWT-ERT-based fault location method is suggested in the IEEE test feeder.\\n\\n\\n\\nA new DWT-ERT based fault location method is suggested in IEEE Test Feeder.\\n\\n\\n\\nThe fault location approach in the distribution network has been proposed in this pa-per that utilizes the discrete wavelet transform (DWT) and ensemble regression tree (ERT).\\n\\n\\n\\nThe fault location approach in the distribution network was proposed in this paper utilises the discrete wavelet transform (DWT) and ensemble regression tree (ERT).\\n\\n\\n\\nThe fault location methodology has been validated by simulations conducted on an IEEE 13 bus node test feeder.\\n\\n\\n\\nThe fault location methodology is validated by simulations conducted on an IEEE 13 bus node test feeder.\\n\\n\\n\\nThe results show that the suggested solution has low compute burden and memory re-quirements, and is unaffected by system and fault situations.\\n\\n\\n\\nIn this study, the fault location approach for the distribution system employing DWT and ERT has been proposed.\\n\",\"PeriodicalId\":36514,\"journal\":{\"name\":\"Recent Advances in Computer Science and Communications\",\"volume\":\"348 2\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Recent Advances in Computer Science and Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2174/0126662558269531231218052251\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Computer Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Recent Advances in Computer Science and Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/0126662558269531231218052251","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Computer Science","Score":null,"Total":0}
A Novel DWT-ERT-based Fault Location for Distribution Network
A new DWT-ERT-based fault location method is suggested in the IEEE test feeder.
A new DWT-ERT based fault location method is suggested in IEEE Test Feeder.
The fault location approach in the distribution network has been proposed in this pa-per that utilizes the discrete wavelet transform (DWT) and ensemble regression tree (ERT).
The fault location approach in the distribution network was proposed in this paper utilises the discrete wavelet transform (DWT) and ensemble regression tree (ERT).
The fault location methodology has been validated by simulations conducted on an IEEE 13 bus node test feeder.
The fault location methodology is validated by simulations conducted on an IEEE 13 bus node test feeder.
The results show that the suggested solution has low compute burden and memory re-quirements, and is unaffected by system and fault situations.
In this study, the fault location approach for the distribution system employing DWT and ERT has been proposed.