基于运行可靠性和决策树的电力线在线故障预警方法

Cheng Tao, Chen Lei, Xu Fei, Dai Yuanhang
{"title":"基于运行可靠性和决策树的电力线在线故障预警方法","authors":"Cheng Tao, Chen Lei, Xu Fei, Dai Yuanhang","doi":"10.1109/PMAPS.2016.7764141","DOIUrl":null,"url":null,"abstract":"In order to achieve the grid line online fault warning, we used operational reliability theory to generate power line fault data, and then use the decision tree method to establish the relationships between pre-fault line data and the fault, and generate the corresponding fault warning rules, simulation results show that the decision tree method can effectively achieve line fault warning, which provides useful information for the operators to guarantee the security of the power system.","PeriodicalId":265474,"journal":{"name":"2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Power line online fault warning method based on operational reliability and decision tree\",\"authors\":\"Cheng Tao, Chen Lei, Xu Fei, Dai Yuanhang\",\"doi\":\"10.1109/PMAPS.2016.7764141\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to achieve the grid line online fault warning, we used operational reliability theory to generate power line fault data, and then use the decision tree method to establish the relationships between pre-fault line data and the fault, and generate the corresponding fault warning rules, simulation results show that the decision tree method can effectively achieve line fault warning, which provides useful information for the operators to guarantee the security of the power system.\",\"PeriodicalId\":265474,\"journal\":{\"name\":\"2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)\",\"volume\":\"74 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PMAPS.2016.7764141\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PMAPS.2016.7764141","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

为了实现电网线路在线故障预警,利用运行可靠性理论生成电力线故障数据,然后利用决策树方法建立故障前线路数据与故障之间的关系,并生成相应的故障预警规则,仿真结果表明,决策树方法可以有效地实现线路故障预警,为操作人员提供有用的信息,保证电力系统的安全运行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Power line online fault warning method based on operational reliability and decision tree
In order to achieve the grid line online fault warning, we used operational reliability theory to generate power line fault data, and then use the decision tree method to establish the relationships between pre-fault line data and the fault, and generate the corresponding fault warning rules, simulation results show that the decision tree method can effectively achieve line fault warning, which provides useful information for the operators to guarantee the security of the power system.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信