I. Diahovchenko, Gowtham Kandaperumal, A. Srivastava
{"title":"Distribution Power System Resiliency Improvement Using Distributed Generation and Automated Switching","authors":"I. Diahovchenko, Gowtham Kandaperumal, A. Srivastava","doi":"10.1109/ESS.2019.8764185","DOIUrl":null,"url":null,"abstract":"The contemporary power distribution system is facing an increase in extreme weather events, cybersecurity threats and even physical threats such as terrorism. Therefore there is a growing interest towards resiliency estimation and improvement. In this paper the resiliency enhancement strategy by means of Distributed Energy Resources and Automated Switches is presented. Resiliency scores are calculated using Analytical Hierarchy Process. The developed algorithm was validated on the modified IEEE 123 node system. It provides the most resiliency feasible network that satisfies the primary goal of serving the critical loads.","PeriodicalId":187043,"journal":{"name":"2019 IEEE 6th International Conference on Energy Smart Systems (ESS)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 6th International Conference on Energy Smart Systems (ESS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ESS.2019.8764185","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
Abstract
The contemporary power distribution system is facing an increase in extreme weather events, cybersecurity threats and even physical threats such as terrorism. Therefore there is a growing interest towards resiliency estimation and improvement. In this paper the resiliency enhancement strategy by means of Distributed Energy Resources and Automated Switches is presented. Resiliency scores are calculated using Analytical Hierarchy Process. The developed algorithm was validated on the modified IEEE 123 node system. It provides the most resiliency feasible network that satisfies the primary goal of serving the critical loads.