{"title":"Security control of direct current microgrids under deception attacks—A dynamic event-triggered approach","authors":"Fuqiang Li, Kang Li, Chen Peng, Lisai Gao","doi":"10.1002/asjc.3441","DOIUrl":null,"url":null,"abstract":"This paper studies the security control of direct current (DC) microgrids under deception attacks, and a dynamic event-triggered mechanism (DETM) is proposed to save constrained network bandwidth. The DETM can reduce the frequency of data communications and exclude Zeno behavior inherently. Then, a time-delay closed-loop system model is built, which integrates parameters of the DC microgrid, the DETM, deception attacks, injection current controller, and network-induced delays in one unified framework. Sufficient conditions are derived for globally exponentially ultimately bounded stability in mean square, which establish the relationship between system performance and the contributing factors such as the DETM, deception attacks, and network delays. Further, a co-design method is presented to derive the parameters of the controller and the DETM in just one step. Simulation results confirm the effectiveness of the proposed method for security control of DC microgrids, achieving 21.5% savings of communication resources while effectively stabilizing the system even 10.7<i>%</i> of the transmitted data that are manipulated by the deception attacks.","PeriodicalId":55453,"journal":{"name":"Asian Journal of Control","volume":"27 1","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Journal of Control","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1002/asjc.3441","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
This paper studies the security control of direct current (DC) microgrids under deception attacks, and a dynamic event-triggered mechanism (DETM) is proposed to save constrained network bandwidth. The DETM can reduce the frequency of data communications and exclude Zeno behavior inherently. Then, a time-delay closed-loop system model is built, which integrates parameters of the DC microgrid, the DETM, deception attacks, injection current controller, and network-induced delays in one unified framework. Sufficient conditions are derived for globally exponentially ultimately bounded stability in mean square, which establish the relationship between system performance and the contributing factors such as the DETM, deception attacks, and network delays. Further, a co-design method is presented to derive the parameters of the controller and the DETM in just one step. Simulation results confirm the effectiveness of the proposed method for security control of DC microgrids, achieving 21.5% savings of communication resources while effectively stabilizing the system even 10.7% of the transmitted data that are manipulated by the deception attacks.
期刊介绍:
The Asian Journal of Control, an Asian Control Association (ACA) and Chinese Automatic Control Society (CACS) affiliated journal, is the first international journal originating from the Asia Pacific region. The Asian Journal of Control publishes papers on original theoretical and practical research and developments in the areas of control, involving all facets of control theory and its application.
Published six times a year, the Journal aims to be a key platform for control communities throughout the world.
The Journal provides a forum where control researchers and practitioners can exchange knowledge and experiences on the latest advances in the control areas, and plays an educational role for students and experienced researchers in other disciplines interested in this continually growing field. The scope of the journal is extensive.
Topics include:
The theory and design of control systems and components, encompassing:
Robust and distributed control using geometric, optimal, stochastic and nonlinear methods
Game theory and state estimation
Adaptive control, including neural networks, learning, parameter estimation
and system fault detection
Artificial intelligence, fuzzy and expert systems
Hierarchical and man-machine systems
All parts of systems engineering which consider the reliability of components and systems
Emerging application areas, such as:
Robotics
Mechatronics
Computers for computer-aided design, manufacturing, and control of
various industrial processes
Space vehicles and aircraft, ships, and traffic
Biomedical systems
National economies
Power systems
Agriculture
Natural resources.