{"title":"A resiliency measure for electrical power systems","authors":"M. Ibrahim, Jun Chen, Ratnesh Kumar","doi":"10.1109/WODES.2016.7497877","DOIUrl":null,"url":null,"abstract":"Providing a resiliency measure for power systems is one of the challenges towards its Dynamic Security Assessment. This paper introduces a resiliency measure, called Level-of-Resilience (LoR), determined by examining: (i) the Region-of- Stability-Reduction (RoSR), as the RoS evolves under attack and recovery actions as captured by a “modal-RoS”, (ii) the eventual Level-of-Performance-Reduction (LoPR), as measured by percentage of reduction of load served, and (iii) Recovery-Time (RT), which is the time system takes to detect and recover from an attack or a fault. We illustrate our measure by comparing resiliency level of two power systems under two different attack scenarios.","PeriodicalId":268613,"journal":{"name":"2016 13th International Workshop on Discrete Event Systems (WODES)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 13th International Workshop on Discrete Event Systems (WODES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WODES.2016.7497877","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
Providing a resiliency measure for power systems is one of the challenges towards its Dynamic Security Assessment. This paper introduces a resiliency measure, called Level-of-Resilience (LoR), determined by examining: (i) the Region-of- Stability-Reduction (RoSR), as the RoS evolves under attack and recovery actions as captured by a “modal-RoS”, (ii) the eventual Level-of-Performance-Reduction (LoPR), as measured by percentage of reduction of load served, and (iii) Recovery-Time (RT), which is the time system takes to detect and recover from an attack or a fault. We illustrate our measure by comparing resiliency level of two power systems under two different attack scenarios.