{"title":"Active Cyber-Resilient Control for a PV System at Microgrid Level","authors":"Saeedreza Jadidi, H. Badihi, Youmin Zhang","doi":"10.1109/REPE52765.2021.9617109","DOIUrl":null,"url":null,"abstract":"Smart microgrids are the basic components of the next-generation power grid known as smart grid. To achieve a more cost-effective functionality and enhance the reliability of smart microgrids, innovative techniques for cyber-attack detection and cyber-resilient control need to be addressed. For this purpose, this paper considers various distributed generation resources, including wind, solar and battery, as a hybrid renewable microgrid. A novel model-based cyber-attack detection and diagnosis scheme based on fuzzy modeling and identification approach is presented for the PV system at microgrid level. Also, an integrated cyber-resilient controller for the DC/DC pulse-width modulation (PWM) converter is proposed to mitigate the impacts of cyber-attacks. Finally, simulations are performed in MATLAB/Simulink environment to demonstrate the effectiveness of the proposed approaches.","PeriodicalId":136285,"journal":{"name":"2021 IEEE 4th International Conference on Renewable Energy and Power Engineering (REPE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 4th International Conference on Renewable Energy and Power Engineering (REPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/REPE52765.2021.9617109","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Smart microgrids are the basic components of the next-generation power grid known as smart grid. To achieve a more cost-effective functionality and enhance the reliability of smart microgrids, innovative techniques for cyber-attack detection and cyber-resilient control need to be addressed. For this purpose, this paper considers various distributed generation resources, including wind, solar and battery, as a hybrid renewable microgrid. A novel model-based cyber-attack detection and diagnosis scheme based on fuzzy modeling and identification approach is presented for the PV system at microgrid level. Also, an integrated cyber-resilient controller for the DC/DC pulse-width modulation (PWM) converter is proposed to mitigate the impacts of cyber-attacks. Finally, simulations are performed in MATLAB/Simulink environment to demonstrate the effectiveness of the proposed approaches.