{"title":"网络弹性智能电网研究综述","authors":"F. Mohammadi, M. Saif, M. Ahmadi, B. Shafai","doi":"10.23919/WAC55640.2022.9934511","DOIUrl":null,"url":null,"abstract":"This paper provides a survey of measurable factors affecting the adoption of cybersecurity enhancement strategies in the smart grid. From power systems operators’ point of view, it is crucial to determine to what degree the smart grid can be made resilient against cyber-attacks through the use of efficient resilience enhancement strategies. In the past decade, there have been numerous attempts to improve the resilience of the smart grid against different types of cyber-attacks. This paper mainly focuses on the recently proposed cybersecurity strategies for successfully detecting and identifying False Data Injection (FDI) attacks, and compares and contrasts their accuracy, computational burden, and robustness against external factors, as their main measurable factors. It is challenging to find an all-inclusive solution satisfying all requirements of the smart grid. Hence, a quantitative mean for evaluation of the cyber-attack detection and identification strategies is provided in this paper.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Review of Cyber–Resilient Smart Grid\",\"authors\":\"F. Mohammadi, M. Saif, M. Ahmadi, B. Shafai\",\"doi\":\"10.23919/WAC55640.2022.9934511\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper provides a survey of measurable factors affecting the adoption of cybersecurity enhancement strategies in the smart grid. From power systems operators’ point of view, it is crucial to determine to what degree the smart grid can be made resilient against cyber-attacks through the use of efficient resilience enhancement strategies. In the past decade, there have been numerous attempts to improve the resilience of the smart grid against different types of cyber-attacks. This paper mainly focuses on the recently proposed cybersecurity strategies for successfully detecting and identifying False Data Injection (FDI) attacks, and compares and contrasts their accuracy, computational burden, and robustness against external factors, as their main measurable factors. It is challenging to find an all-inclusive solution satisfying all requirements of the smart grid. Hence, a quantitative mean for evaluation of the cyber-attack detection and identification strategies is provided in this paper.\",\"PeriodicalId\":339737,\"journal\":{\"name\":\"2022 World Automation Congress (WAC)\",\"volume\":\"102 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 World Automation Congress (WAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/WAC55640.2022.9934511\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 World Automation Congress (WAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/WAC55640.2022.9934511","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper provides a survey of measurable factors affecting the adoption of cybersecurity enhancement strategies in the smart grid. From power systems operators’ point of view, it is crucial to determine to what degree the smart grid can be made resilient against cyber-attacks through the use of efficient resilience enhancement strategies. In the past decade, there have been numerous attempts to improve the resilience of the smart grid against different types of cyber-attacks. This paper mainly focuses on the recently proposed cybersecurity strategies for successfully detecting and identifying False Data Injection (FDI) attacks, and compares and contrasts their accuracy, computational burden, and robustness against external factors, as their main measurable factors. It is challenging to find an all-inclusive solution satisfying all requirements of the smart grid. Hence, a quantitative mean for evaluation of the cyber-attack detection and identification strategies is provided in this paper.