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Memory-based event-triggered fault-tolerant load frequency control of multi-area power systems with electric vehicles

Author

Listed:
  • Liu, Xinghua
  • Liang, Yuru
  • Qiao, Siwei
  • Wang, Peng

Abstract

This paper focuses on the fault-tolerant load frequency control problem for a multi-area power system with electric vehicles, specifically addressing sensor failures. Electric vehicles are utilized for load frequency control, and a multi-area power system model is established while considering parameter uncertainty. To minimize network data transmission, a memory-based adaptive hybrid event-triggered mechanism is designed, utilizing historical data to construct a threshold function. In addition, both the system states as well as the faults are estimated using a sliding mode observer. The proposed fault-tolerant load frequency control scheme uses observers to mitigate the impact of sensor failures. By applying Lyapunov stability theory, sufficient conditions are derived for the stability of the multi-area power system. Finally, simulations are provided to demonstrate the validity of the proposed schemes.

Suggested Citation

  • Liu, Xinghua & Liang, Yuru & Qiao, Siwei & Wang, Peng, 2024. "Memory-based event-triggered fault-tolerant load frequency control of multi-area power systems with electric vehicles," Applied Mathematics and Computation, Elsevier, vol. 472(C).
    • Handle: RePEc:eee:apmaco:v:472:y:2024:i:c:s0096300324001085
    DOI: 10.1016/j.amc.2024.128636
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