Tongxiang Li , Xi Wen , Jing Zhou , Shuwang Du , Bo Chen
{"title":"Voltage control for DC microgrid under DoS attacks: A security predictive control approach","authors":"Tongxiang Li , Xi Wen , Jing Zhou , Shuwang Du , Bo Chen","doi":"10.1016/j.isatra.2025.04.032","DOIUrl":null,"url":null,"abstract":"<div><div>DC microgrids are vulnerable to increasing cyber-security threats as communication technologies evolve. DoS attacks can destroy system access, thereby altering control signals and system dynamics. Although strategies such as zero-input or hold-input have been proposed to mitigate the effects of DoS attacks, these methods are not effective in ensuring immediate update of system control inputs, which has an impact on the overall system performance. To address this challenge, this study proposes a secure predictive control approach for DC microgrid voltage control under two-channel asynchronous DoS attacks. For the two-channel asynchronous DoS attacks, a security transmission scheme that fully utilizes the non-attack time period is designed to achieve timely update of control inputs. Furthermore, by constructing an improved secure controller based on prediction theory and active compensation mechanism, this study effectively compensates the packet loss caused by asynchronous attacks. By combining the secure transmission scheme and the improved secure predictive controller, this study ensures the asymptotic stability of DC microgrids under asynchronous DoS attacks. To verify the effectiveness and performance of the proposed method, this study conducts a series of simulations.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"162 ","pages":"Pages 179-186"},"PeriodicalIF":6.3000,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ISA transactions","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0019057825002204","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
DC microgrids are vulnerable to increasing cyber-security threats as communication technologies evolve. DoS attacks can destroy system access, thereby altering control signals and system dynamics. Although strategies such as zero-input or hold-input have been proposed to mitigate the effects of DoS attacks, these methods are not effective in ensuring immediate update of system control inputs, which has an impact on the overall system performance. To address this challenge, this study proposes a secure predictive control approach for DC microgrid voltage control under two-channel asynchronous DoS attacks. For the two-channel asynchronous DoS attacks, a security transmission scheme that fully utilizes the non-attack time period is designed to achieve timely update of control inputs. Furthermore, by constructing an improved secure controller based on prediction theory and active compensation mechanism, this study effectively compensates the packet loss caused by asynchronous attacks. By combining the secure transmission scheme and the improved secure predictive controller, this study ensures the asymptotic stability of DC microgrids under asynchronous DoS attacks. To verify the effectiveness and performance of the proposed method, this study conducts a series of simulations.
期刊介绍:
ISA Transactions serves as a platform for showcasing advancements in measurement and automation, catering to both industrial practitioners and applied researchers. It covers a wide array of topics within measurement, including sensors, signal processing, data analysis, and fault detection, supported by techniques such as artificial intelligence and communication systems. Automation topics encompass control strategies, modelling, system reliability, and maintenance, alongside optimization and human-machine interaction. The journal targets research and development professionals in control systems, process instrumentation, and automation from academia and industry.