{"title":"Critical-Metrics-Based Attack Strategy and Resilient H∞ State Estimator Design for Multi-Area Power Systems","authors":"Guowei Liu;Engang Tian;Xiangpeng Xie","doi":"10.1109/TSG.2024.3454637","DOIUrl":null,"url":null,"abstract":"This paper discusses the issue of attack-defense framework for multi-area power systems. The primary objective is to propose a novel critical-metrics-based (CMB) attack strategy from the attacker’s perspective to enhance destructiveness. Different from the indiscriminate denial-of-service (DoS) attacks in existing literature (i.e., conducting attacks without considering the information of attack targets and packets), the proposed CMB attack strategy can target important packets in critical areas of the power system, thereby more severe attack impact on system performance is expected. The second aim of this study is to design a resilient <inline-formula> <tex-math>$\\boldsymbol {H_{\\infty }}$ </tex-math></inline-formula> state estimator against the proposed CMB attacks, which can maintain specific system performance in the presence of attacks. By utilizing the Lyapunov functional method, sufficient conditions ensuring asymptotic stability of the augmented error dynamics and <inline-formula> <tex-math>$\\boldsymbol {H_{\\infty }}$ </tex-math></inline-formula> disturbance attenuation performance are successfully obtained. Simulation results on the IEEE 39-bus system demonstrate that the proposed CMB attack strategy inflicts more severe damage on the power system than some existing DoS attack models. Meanwhile, the designed resilient <inline-formula> <tex-math>$\\boldsymbol {H_{\\infty }}$ </tex-math></inline-formula> state estimator can effectively mitigate the negative impact of potential CMB attack strategies.","PeriodicalId":13331,"journal":{"name":"IEEE Transactions on Smart Grid","volume":"16 2","pages":"1619-1628"},"PeriodicalIF":9.8000,"publicationDate":"2024-09-05","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/10666845/","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 paper discusses the issue of attack-defense framework for multi-area power systems. The primary objective is to propose a novel critical-metrics-based (CMB) attack strategy from the attacker’s perspective to enhance destructiveness. Different from the indiscriminate denial-of-service (DoS) attacks in existing literature (i.e., conducting attacks without considering the information of attack targets and packets), the proposed CMB attack strategy can target important packets in critical areas of the power system, thereby more severe attack impact on system performance is expected. The second aim of this study is to design a resilient $\boldsymbol {H_{\infty }}$ state estimator against the proposed CMB attacks, which can maintain specific system performance in the presence of attacks. By utilizing the Lyapunov functional method, sufficient conditions ensuring asymptotic stability of the augmented error dynamics and $\boldsymbol {H_{\infty }}$ disturbance attenuation performance are successfully obtained. Simulation results on the IEEE 39-bus system demonstrate that the proposed CMB attack strategy inflicts more severe damage on the power system than some existing DoS attack models. Meanwhile, the designed resilient $\boldsymbol {H_{\infty }}$ state estimator can effectively mitigate the negative impact of potential CMB attack strategies.
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.