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<p>This study employs a sliding-mode control (SMC) law integrated with a generalized Dual-Stage adaptive event-triggered mechanism (AETM) to explore fuzzy load frequency control (LFC) in power systems. Firstly, using the traditional ETM, the Dual-Stage AETM reorders the triggered packets and then probabilistically identifies the real-released packets, aiming to reduce the signal transmission frequency. The triggering threshold is dynamically adjusted according to the latest and historical triggered data to achieve efficient data transmission. Given the high-frequency nature of attack signals, a double-layer switching architecture is introduced. This architecture integrates attack phenomena with the characteristics of the switching system and employs the PDT switching (PDTS) rule to precisely characterize the two switching modalities. By formulating a Lyapunov function that considers dual switching signals, sufficient conditions are derived to ensure the global exponential stability (GES) of the system. Furthermore, by leveraging an SMC law tailored for LFC, the accessibility of the sliding mode surface is ensured by optimizing the gain through convex optimization. Finally, the approach is validated via simulation results, demonstrating its potential in enhancing fuzzy LFC in power systems.</p>

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Generalized Dual-Stage Event-Triggered Fuzzy Sliding Mode Load Frequency Security Control for Networked Power Systems

  • 期刊论文

  • 发表日期：

    2025年7月22日

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  • Mengzhuo Luo,
  • Yuzhuo Zhang,
  • Jun Cheng,
  • Kaibo Shi

摘要

This study employs a sliding-mode control (SMC) law integrated with a generalized Dual-Stage adaptive event-triggered mechanism (AETM) to explore fuzzy load frequency control (LFC) in power systems. Firstly, using the traditional ETM, the Dual-Stage AETM reorders the triggered packets and then probabilistically identifies the real-released packets, aiming to reduce the signal transmission frequency. The triggering threshold is dynamically adjusted according to the latest and historical triggered data to achieve efficient data transmission. Given the high-frequency nature of attack signals, a double-layer switching architecture is introduced. This architecture integrates attack phenomena with the characteristics of the switching system and employs the PDT switching (PDTS) rule to precisely characterize the two switching modalities. By formulating a Lyapunov function that considers dual switching signals, sufficient conditions are derived to ensure the global exponential stability (GES) of the system. Furthermore, by leveraging an SMC law tailored for LFC, the accessibility of the sliding mode surface is ensured by optimizing the gain through convex optimization. Finally, the approach is validated via simulation results, demonstrating its potential in enhancing fuzzy LFC in power systems.