Xin Shan, Zemei Dai, Jian Zhang, JiangFeng Qian, Mingyi He
{"title":"The online fault diagnosis and visualization of the grid based on multi-dimensional three-state data co-processing","authors":"Xin Shan, Zemei Dai, Jian Zhang, JiangFeng Qian, Mingyi He","doi":"10.1109/APAP.2011.6180624","DOIUrl":null,"url":null,"abstract":"One of the most crucial issues, during the operation of power system, is to deal with the power failures timely and rapidly in case the accident grows bigger, which calls for our operators and controllers to judge the fault facilities correctly. Based on the development of science and information technology aimed at automatic control upon power grid, we put for-ward a method of online fault diagnosis which comprehensive use three-state data (steady, dynamic, transient state), co-processes on the time, space and information dimensions of data sources together, to improve real-time, reliability and practicality of power fault diagnosis. It also incorporates the visualization technology to achieve hierarchical and intelligent linkage visualization of power fault information,which improve intelligent level of Fault Disposal.","PeriodicalId":435652,"journal":{"name":"2011 International Conference on Advanced Power System Automation and Protection","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Advanced Power System Automation and Protection","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APAP.2011.6180624","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
One of the most crucial issues, during the operation of power system, is to deal with the power failures timely and rapidly in case the accident grows bigger, which calls for our operators and controllers to judge the fault facilities correctly. Based on the development of science and information technology aimed at automatic control upon power grid, we put for-ward a method of online fault diagnosis which comprehensive use three-state data (steady, dynamic, transient state), co-processes on the time, space and information dimensions of data sources together, to improve real-time, reliability and practicality of power fault diagnosis. It also incorporates the visualization technology to achieve hierarchical and intelligent linkage visualization of power fault information,which improve intelligent level of Fault Disposal.