{"title":"大型电网崩溃后恢复时间的一种新的随机判据","authors":"L. Pierrat, E. Helerea","doi":"10.1109/ISFEE.2016.7803233","DOIUrl":null,"url":null,"abstract":"The large electric power systems are critical infrastructures whose failure can have detrimental socio-economical consequences. The voltage collapse phenomenon leads generally to a partial or total black-out of the power network and it is necessary to restore it as soon as possible. We present a stochastic model for the restoration time having a minimal number of parameters. This model leads to an efficiency criterion that permits to compare real incidents related to diverse power networks.","PeriodicalId":240170,"journal":{"name":"2016 International Symposium on Fundamentals of Electrical Engineering (ISFEE)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A new stochastic criterion of restoration time after collapse of a large power network\",\"authors\":\"L. Pierrat, E. Helerea\",\"doi\":\"10.1109/ISFEE.2016.7803233\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The large electric power systems are critical infrastructures whose failure can have detrimental socio-economical consequences. The voltage collapse phenomenon leads generally to a partial or total black-out of the power network and it is necessary to restore it as soon as possible. We present a stochastic model for the restoration time having a minimal number of parameters. This model leads to an efficiency criterion that permits to compare real incidents related to diverse power networks.\",\"PeriodicalId\":240170,\"journal\":{\"name\":\"2016 International Symposium on Fundamentals of Electrical Engineering (ISFEE)\",\"volume\":\"50 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Symposium on Fundamentals of Electrical Engineering (ISFEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISFEE.2016.7803233\",\"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 Symposium on Fundamentals of Electrical Engineering (ISFEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISFEE.2016.7803233","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new stochastic criterion of restoration time after collapse of a large power network
The large electric power systems are critical infrastructures whose failure can have detrimental socio-economical consequences. The voltage collapse phenomenon leads generally to a partial or total black-out of the power network and it is necessary to restore it as soon as possible. We present a stochastic model for the restoration time having a minimal number of parameters. This model leads to an efficiency criterion that permits to compare real incidents related to diverse power networks.