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Disturbance Observer-Based Prescribed Performance Fault-Tolerant Control for a Multi-Area Interconnected Power System with a Hybrid Energy Storage System

Author

Listed:
  • Dong Yu

    (School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China)

  • Weiming Zhang

    (School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China)

  • Jianlin Li

    (School of Electrical and Control Engineering, North China University of Technology, Beijing 100144, China)

  • Weilin Yang

    (School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China)

  • Dezhi Xu

    (School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China)

Abstract

The goal of this study is to develop a disturbance observer-based prescribed performance fault-tolerant controller (PPFTC) for a multi-area interconnected power system (MIPS) with a hybrid energy storage system (HESS). The mathematical model of the MIPS with HESS is introduced first. Then the load disturbance estimation is obtained using a disturbance observer (DO) approach. By introducing two additional functions, the tracking error is bounded to achieve the desired response. The PPFTC is further developed based on the DO ensuring that the area control error (ACE) of the MIPS asymptotically converges to zero. Finally, the effectiveness of the given PPFTC and DO are inspected through the use of the Lyapunov theory and simulated results.

Suggested Citation

  • Dong Yu & Weiming Zhang & Jianlin Li & Weilin Yang & Dezhi Xu, 2020. "Disturbance Observer-Based Prescribed Performance Fault-Tolerant Control for a Multi-Area Interconnected Power System with a Hybrid Energy Storage System," Energies, MDPI, vol. 13(5), pages 1-15, March.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:5:p:1251-:d:329906
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    References listed on IDEAS

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    1. Fathima, A. Hina & Palanisamy, K., 2015. "Optimization in microgrids with hybrid energy systems – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 431-446.
    2. Weilin Yang & Dong Yu & Dezhi Xu & Yiwei Zhang, 2019. "Observer-Based Sliding Mode FTC for Multi-Area Interconnected Power Systems against Hybrid Energy Storage Faults," Energies, MDPI, vol. 12(14), pages 1-15, July.
    3. Xiong, Rui & Cao, Jiayi & Yu, Quanqing, 2018. "Reinforcement learning-based real-time power management for hybrid energy storage system in the plug-in hybrid electric vehicle," Applied Energy, Elsevier, vol. 211(C), pages 538-548.
    4. Zhang, Shuo & Xiong, Rui & Sun, Fengchun, 2017. "Model predictive control for power management in a plug-in hybrid electric vehicle with a hybrid energy storage system," Applied Energy, Elsevier, vol. 185(P2), pages 1654-1662.
    5. Yan-Hui Jing & Guang-Hong Yang, 2017. "Adaptive quantised fault-tolerant tracking control of uncertain nonlinear systems with unknown control direction and the prescribed accuracy," International Journal of Systems Science, Taylor & Francis Journals, vol. 48(13), pages 2826-2837, October.
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    Cited by:

    1. Nahid-Al Masood & Md. Nahid Haque Shazon & Hasin Mussayab Ahmed & Shohana Rahman Deeba, 2020. "Mitigation of Over-Frequency through Optimal Allocation of BESS in a Low-Inertia Power System," Energies, MDPI, vol. 13(17), pages 1-23, September.

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