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A Dynamic-Memory Event-Triggered Protocol to Multiarea Power Systems With Semi-Markov Jumping Parameter.

Lifei Xie, Jun Cheng, Yanli Zou

    IEEE Transactions on Cybernetics
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    Summary

    This study introduces a dynamic-memory event-triggered control for interconnected power systems facing faults and cyberattacks. The novel approach enhances system stability and performance under uncertain conditions.

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    Area of Science:

    • Power Systems Engineering
    • Control Theory
    • Cybersecurity

    Background:

    • Interconnected multiarea power systems (IMAPSs) face challenges from random variations and deception attacks.
    • Load frequency control (LFC) is crucial for maintaining grid stability and performance.

    Purpose of the Study:

    • To develop a robust dynamic-memory event-triggered control strategy for IMAPSs.
    • To address transient faults and random deception attacks in power systems.
    • To enhance the dynamic performance and stochastic stability of IMAPSs.

    Main Methods:

    • Modeling IMAPSs dynamics using a semi-Markov process.
    • Designing an area-dependent dynamic-memory event-triggered protocol (DMETP) using historically released packets (HRPs).
    • Formulating a memory-based asynchronous control strategy incorporating hidden semi-Markov models.
    • Establishing stability conditions using Lyapunov theory.

    Main Results:

    • The proposed DMETP effectively modulates transmission frequency and improves dynamic performance.
    • The memory-based asynchronous control strategy addresses mode mismatches caused by deception attacks.
    • Sufficient conditions for ensuring the stochastic stability of the controlled IMAPSs were established.

    Conclusions:

    • The developed dynamic-memory event-triggered control approach demonstrates significant efficiency in enhancing the stability and performance of IMAPSs.
    • The methodology provides a robust solution for load frequency control in power systems susceptible to faults and cyber threats.