{"title":"基于云的电网故障检测智能广域测量系统","authors":"Jingsong Shan, Jianyang Zhao, Chengfu Sun, Chunhua Jin, Zhenxiu Zhang","doi":"10.1109/CTISC52352.2021.00023","DOIUrl":null,"url":null,"abstract":"Power grid is becoming more and more smart and complex. It is necessary for us to measure, monitor and manage smart devices in power grid. In case of fault, the power grid equipment will suffer serious damage and cause great economic losses. A Cloud-based Wide-area Measurement System approach is proposed for fault detection in this paper. Fault detection using cloud-based WAMS can be divided into two main parts: Edging detection and Cloud detection. In edging devices, we try to find out the suspected local faults in power grid. In Cloud, we try to probe global faults by analysis of global features collected from edges.","PeriodicalId":268378,"journal":{"name":"2021 3rd International Conference on Advances in Computer Technology, Information Science and Communication (CTISC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Cloud-based Smart Wide-area Measurement System for Power Grid Fault Detection\",\"authors\":\"Jingsong Shan, Jianyang Zhao, Chengfu Sun, Chunhua Jin, Zhenxiu Zhang\",\"doi\":\"10.1109/CTISC52352.2021.00023\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Power grid is becoming more and more smart and complex. It is necessary for us to measure, monitor and manage smart devices in power grid. In case of fault, the power grid equipment will suffer serious damage and cause great economic losses. A Cloud-based Wide-area Measurement System approach is proposed for fault detection in this paper. Fault detection using cloud-based WAMS can be divided into two main parts: Edging detection and Cloud detection. In edging devices, we try to find out the suspected local faults in power grid. In Cloud, we try to probe global faults by analysis of global features collected from edges.\",\"PeriodicalId\":268378,\"journal\":{\"name\":\"2021 3rd International Conference on Advances in Computer Technology, Information Science and Communication (CTISC)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 3rd International Conference on Advances in Computer Technology, Information Science and Communication (CTISC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CTISC52352.2021.00023\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 3rd International Conference on Advances in Computer Technology, Information Science and Communication (CTISC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CTISC52352.2021.00023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Cloud-based Smart Wide-area Measurement System for Power Grid Fault Detection
Power grid is becoming more and more smart and complex. It is necessary for us to measure, monitor and manage smart devices in power grid. In case of fault, the power grid equipment will suffer serious damage and cause great economic losses. A Cloud-based Wide-area Measurement System approach is proposed for fault detection in this paper. Fault detection using cloud-based WAMS can be divided into two main parts: Edging detection and Cloud detection. In edging devices, we try to find out the suspected local faults in power grid. In Cloud, we try to probe global faults by analysis of global features collected from edges.