Voltage control for DC microgrid under DoS attacks: A security predictive control approach

IF 6.3 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Tongxiang Li , Xi Wen , Jing Zhou , Shuwang Du , Bo Chen
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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.
DoS攻击下直流微电网电压控制:一种安全预测控制方法。
随着通信技术的发展,直流微电网容易受到越来越多的网络安全威胁。DoS攻击可以破坏系统访问,从而改变控制信号和系统动态。虽然已经提出了诸如零输入或保持输入之类的策略来减轻DoS攻击的影响,但这些方法不能有效地确保系统控制输入的即时更新,这对系统的整体性能有影响。为了解决这一挑战,本研究提出了一种安全的预测控制方法,用于双通道异步DoS攻击下的直流微电网电压控制。针对双通道异步DoS攻击,设计了充分利用非攻击时间段的安全传输方案,实现控制输入的及时更新。此外,通过构建基于预测理论和主动补偿机制的改进安全控制器,有效补偿了异步攻击造成的丢包。通过将安全传输方案与改进的安全预测控制器相结合,保证了直流微电网在异步DoS攻击下的渐近稳定性。为了验证该方法的有效性和性能,本研究进行了一系列的仿真。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ISA transactions
ISA transactions 工程技术-工程:综合
CiteScore
11.70
自引率
12.30%
发文量
824
审稿时长
4.4 months
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.
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