Yajuan Liu;Zhihao Yuan;Dong Xu;Xiangpeng Xie;Ju H. Park
{"title":"Adaptive Event-Triggered Load Frequency Control for Multi-Area Power Systems Against Mixed Cyber-Attacks","authors":"Yajuan Liu;Zhihao Yuan;Dong Xu;Xiangpeng Xie;Ju H. Park","doi":"10.1109/TSG.2024.3492995","DOIUrl":null,"url":null,"abstract":"This article proposes the adaptive event-triggered mechanism (AETM) load frequency control (LFC) problem for multi-area power systems with aperiodic denial-of-service (ADoS) and deception attacks simultaneously. An AETM that automatically adjusts the trigger threshold is developed to improve the communication efficiency during ADoS attacks. Different from existing ADoS attacks, a novel attack model is proposed, where the whole ADoS attack period is divided into four intervals, that is, rest intervals, continuous detection intervals, residual intervals, and active-attack intervals. Based on this ADoS attack model, the closed-loop system, which can be seen as a three-mode switched system by integrating time intervals, is introduced in a unified framework to handle the AETM, deception attacks and ADoS attacks. Time-varying segmented Lyapunov functions are constructed and some sufficient conditions are obtained to ensure exponential stability of closed-loop systems with <inline-formula> <tex-math>$H_{\\infty }$ </tex-math></inline-formula> index. At last, a three-area power system is tested to verify the effectiveness of the designed control scheme.","PeriodicalId":13331,"journal":{"name":"IEEE Transactions on Smart Grid","volume":"16 2","pages":"1732-1743"},"PeriodicalIF":9.8000,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Smart Grid","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10745598/","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
This article proposes the adaptive event-triggered mechanism (AETM) load frequency control (LFC) problem for multi-area power systems with aperiodic denial-of-service (ADoS) and deception attacks simultaneously. An AETM that automatically adjusts the trigger threshold is developed to improve the communication efficiency during ADoS attacks. Different from existing ADoS attacks, a novel attack model is proposed, where the whole ADoS attack period is divided into four intervals, that is, rest intervals, continuous detection intervals, residual intervals, and active-attack intervals. Based on this ADoS attack model, the closed-loop system, which can be seen as a three-mode switched system by integrating time intervals, is introduced in a unified framework to handle the AETM, deception attacks and ADoS attacks. Time-varying segmented Lyapunov functions are constructed and some sufficient conditions are obtained to ensure exponential stability of closed-loop systems with $H_{\infty }$ index. At last, a three-area power system is tested to verify the effectiveness of the designed control scheme.
期刊介绍:
The IEEE Transactions on Smart Grid is a multidisciplinary journal that focuses on research and development in the field of smart grid technology. It covers various aspects of the smart grid, including energy networks, prosumers (consumers who also produce energy), electric transportation, distributed energy resources, and communications. The journal also addresses the integration of microgrids and active distribution networks with transmission systems. It publishes original research on smart grid theories and principles, including technologies and systems for demand response, Advance Metering Infrastructure, cyber-physical systems, multi-energy systems, transactive energy, data analytics, and electric vehicle integration. Additionally, the journal considers surveys of existing work on the smart grid that propose new perspectives on the history and future of intelligent and active grids.