Zhong Zhaobin, Zhang Qiran, Ye Qing, Yi Wei, Zhao Yongqiang, Chen Tao
{"title":"输电线路异常报警与故障定位装置的研制","authors":"Zhong Zhaobin, Zhang Qiran, Ye Qing, Yi Wei, Zhao Yongqiang, Chen Tao","doi":"10.1109/CEECT55960.2022.10030622","DOIUrl":null,"url":null,"abstract":"Electric transmission lines are distributed in the field, which is prone to abnormal discharge and even tripping accidents due to various natural factors. At present, it mainly relies on manual regular line patrol and traditional fault location device troubleshooting. There are problems such as insufficient positioning accuracy, inability to predict hidden dangers efficiently and accurately, and power failure due to insufficient power supply. Aiming at the functions of fast and accurate fault identification, location and hidden danger warning, a transmission line abnormal warning and fault location device is proposed. The intelligent device adopts distributed traveling wave measurement technology and is distributed on electric transmission line conductors. On the hardware, it combines the acquisition of power frequency signal, traveling wave signal and hidden danger signal, and the power supply mode mainly based on inductive power extraction and solar power extraction and assisted by lithium battery, which provides rich data resources and improves the power supply stability of the device. In software, the traditional threshold judgment is upgraded to the comprehensive analysis and judgment of multiple signal dynamic trend change algorithms, which effectively improves the fault recognition rate and accuracy. The device has been tested by the third party testing institution and has high fault location accuracy and hidden danger warning accuracy.","PeriodicalId":187017,"journal":{"name":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development of Transmission Line Abnormal Warning and Fault Location Device\",\"authors\":\"Zhong Zhaobin, Zhang Qiran, Ye Qing, Yi Wei, Zhao Yongqiang, Chen Tao\",\"doi\":\"10.1109/CEECT55960.2022.10030622\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Electric transmission lines are distributed in the field, which is prone to abnormal discharge and even tripping accidents due to various natural factors. At present, it mainly relies on manual regular line patrol and traditional fault location device troubleshooting. There are problems such as insufficient positioning accuracy, inability to predict hidden dangers efficiently and accurately, and power failure due to insufficient power supply. Aiming at the functions of fast and accurate fault identification, location and hidden danger warning, a transmission line abnormal warning and fault location device is proposed. The intelligent device adopts distributed traveling wave measurement technology and is distributed on electric transmission line conductors. On the hardware, it combines the acquisition of power frequency signal, traveling wave signal and hidden danger signal, and the power supply mode mainly based on inductive power extraction and solar power extraction and assisted by lithium battery, which provides rich data resources and improves the power supply stability of the device. In software, the traditional threshold judgment is upgraded to the comprehensive analysis and judgment of multiple signal dynamic trend change algorithms, which effectively improves the fault recognition rate and accuracy. The device has been tested by the third party testing institution and has high fault location accuracy and hidden danger warning accuracy.\",\"PeriodicalId\":187017,\"journal\":{\"name\":\"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CEECT55960.2022.10030622\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEECT55960.2022.10030622","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Development of Transmission Line Abnormal Warning and Fault Location Device
Electric transmission lines are distributed in the field, which is prone to abnormal discharge and even tripping accidents due to various natural factors. At present, it mainly relies on manual regular line patrol and traditional fault location device troubleshooting. There are problems such as insufficient positioning accuracy, inability to predict hidden dangers efficiently and accurately, and power failure due to insufficient power supply. Aiming at the functions of fast and accurate fault identification, location and hidden danger warning, a transmission line abnormal warning and fault location device is proposed. The intelligent device adopts distributed traveling wave measurement technology and is distributed on electric transmission line conductors. On the hardware, it combines the acquisition of power frequency signal, traveling wave signal and hidden danger signal, and the power supply mode mainly based on inductive power extraction and solar power extraction and assisted by lithium battery, which provides rich data resources and improves the power supply stability of the device. In software, the traditional threshold judgment is upgraded to the comprehensive analysis and judgment of multiple signal dynamic trend change algorithms, which effectively improves the fault recognition rate and accuracy. The device has been tested by the third party testing institution and has high fault location accuracy and hidden danger warning accuracy.