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Load frequency control of multi-region interconnected power systems with HESS: An event-triggered tube MPC strategy

Author

Listed:
  • An, Zhuoer
  • Liu, Xinghua
  • Xiao, Gaoxi
  • Kang, Yu
  • Wang, Peng

Abstract

An event-triggered tube model predictive control (ETT-MPC) strategy is proposed for multi-region interconnected power systems, which takes into account the uncertain interference and communication redundancy issues during frequency regulation by introducing hybrid energy storage systems (HESS). The paper investigates load frequency control of multi-region interconnected power systems with HESS units, suppressing the uncertainty of external disturbances in considered system by proposing an event-triggered tube MPC algorithm for the frequency regulation. Moreover, a robust stability criterion based on invariant sets is derived to prove the stability of the considered power system. At last, numerical examples are presented to verify that the event-triggered tube MPC method can provide the effective frequency regulation performance for the multi-region interconnected power systems.

Suggested Citation

  • An, Zhuoer & Liu, Xinghua & Xiao, Gaoxi & Kang, Yu & Wang, Peng, 2026. "Load frequency control of multi-region interconnected power systems with HESS: An event-triggered tube MPC strategy," Applied Mathematics and Computation, Elsevier, vol. 519(C).
    • Handle: RePEc:eee:apmaco:v:519:y:2026:i:c:s0096300325006629
    DOI: 10.1016/j.amc.2025.129937
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    References listed on IDEAS

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    1. Wang, Yingchun & Yan, Wei & Zhang, Huaguang & Xie, Xiangpeng, 2022. "Observer-based dynamic event-triggered H∞ LFC for power systems under actuator saturation and deception attack," Applied Mathematics and Computation, Elsevier, vol. 420(C).
    2. Song, Hongchao & Wang, Zhenlei & Wang, Xin, 2025. "Observer-based dynamic event-triggered second-level MPC for nonlinear time-delay CPSs under joint hybrid attacks," Applied Mathematics and Computation, Elsevier, vol. 498(C).
    3. Mu, Yunfei & Zhang, Huaguang & Yan, Yuqing & Wang, Yingchun, 2023. "A novel design approach to state and fault estimation for interconnected systems using distributed observer," Applied Mathematics and Computation, Elsevier, vol. 449(C).
    4. Rafiq Asghar & Francesco Riganti Fulginei & Hamid Wadood & Sarmad Saeed, 2023. "A Review of Load Frequency Control Schemes Deployed for Wind-Integrated Power Systems," Sustainability, MDPI, vol. 15(10), pages 1-29, May.
    5. Liu, Xingyue & Shi, Kaibo & Cheng, Jun & Wen, Shiping & Liu, Yajuan, 2023. "Adaptive memory-based event-triggering resilient LFC for power system under DoS attack," Applied Mathematics and Computation, Elsevier, vol. 451(C).
    6. Lasheen, Ahmed & Saad, Mohamed S. & Emara, Hassan M. & Elshafei, Abdel Latif, 2019. "Tube-based explicit model predictive output-feedback controller for collective pitching of wind turbines," Renewable Energy, Elsevier, vol. 131(C), pages 549-562.
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