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<p>This paper investigates the <i>H</i><sub>∞</sub> load frequency control (LFC) of power systems with an adaptive event-triggered mechanism (AETM) under hybrid cyber attacks, which include denial-of-service (DoS) attacks and deception attacks. Firstly, to reduce the transmission of redundant signals and improve the transmission effect, this paper proposes an AETM, which can dynamically adjust the trigger parameters according to the error function. Additionally, considering the cyber security of the power system, a switching model with Markov jump is established, which considers the history dependence of the transitions between attack states, and effectively improves the security and robustness of the system. Then, the stability criterion of the system with <i>H</i><sub>∞</sub> performance is obtained by constructing suitable multimodal Lyapunov-Krasovsky functionals (LKFs). Finally, simulation examples prove that the controller design under the influence of AETM is effective in saving communication resources.</p>

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Adaptive Event-triggered LFC for Switching Model of Power Systems With Markov Jump Under Hybrid Attacks

  • 期刊论文

  • 发表日期：

    2025年6月11日

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  • Chuan Liu,
  • Kaibo Shi,
  • Xiao Cai,
  • Ming Zhu,
  • Huaicheng Yan,
  • Ohmin Kwon

摘要

This paper investigates the H∞ load frequency control (LFC) of power systems with an adaptive event-triggered mechanism (AETM) under hybrid cyber attacks, which include denial-of-service (DoS) attacks and deception attacks. Firstly, to reduce the transmission of redundant signals and improve the transmission effect, this paper proposes an AETM, which can dynamically adjust the trigger parameters according to the error function. Additionally, considering the cyber security of the power system, a switching model with Markov jump is established, which considers the history dependence of the transitions between attack states, and effectively improves the security and robustness of the system. Then, the stability criterion of the system with H∞ performance is obtained by constructing suitable multimodal Lyapunov-Krasovsky functionals (LKFs). Finally, simulation examples prove that the controller design under the influence of AETM is effective in saving communication resources.