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An On-Line Sensor Fault Detection System for an AC Microgrid Secondary Control Based on a Sliding Mode Observer Model

Author

Listed:
  • John Bravo

    (Faculty of Engineering in Mining, Petroleum and Environmental Geology, Universidad Central del Ecuador, Quito 170129, Ecuador)

  • Leony Ortiz

    (Electrical Engineering Department, Smart Grid Research Group—GIREI, Salesian Polytechnic University, Quito 170702, Ecuador)

  • Edwin García

    (Electrical Engineering Department, Smart Grid Research Group—GIREI, Salesian Polytechnic University, Quito 170702, Ecuador)

  • Milton Ruiz

    (Electrical Engineering Department, Smart Grid Research Group—GIREI, Salesian Polytechnic University, Quito 170702, Ecuador)

  • Alexander Aguila

    (Electrical Engineering Department, Smart Grid Research Group—GIREI, Salesian Polytechnic University, Quito 170702, Ecuador)

Abstract
The current study proposes a strategy for sensing fault detection in the secondary control of an isolated Microgrid based on a high-order Sliding Mode Robust Observers design. The proposed strategy’s main objective is to support future diagnostic and fault tolerance systems in handling these extreme situations. The proposal is based on a generation system and a waste management system. Four test scenarios were generated in a typical Microgrid to validate the designed strategy, including two Battery Energy Storage Systems in parallel, linear, and non-linear loads. The scenarios included normal grid operation and three types of sensing faults (abrupt, incipient, and random) directly affecting the secondary control of a hierarchical control strategy. The results showed that the proposed strategy could provide a real-time decision for detection and reduce the occurrence of false alarms in this process. The effectiveness of the fault detection strategy was verified and tested by digital simulation in Matlab/Simulink R2023b.

Suggested Citation

  • John Bravo & Leony Ortiz & Edwin García & Milton Ruiz & Alexander Aguila, 2024. "An On-Line Sensor Fault Detection System for an AC Microgrid Secondary Control Based on a Sliding Mode Observer Model," Energies, MDPI, vol. 17(15), pages 1-19, August.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:15:p:3808-:d:1448634
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    References listed on IDEAS

    as
    1. Hirsch, Adam & Parag, Yael & Guerrero, Josep, 2018. "Microgrids: A review of technologies, key drivers, and outstanding issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 402-411.
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    3. Li, Jian & Pan, Kunpeng & Su, Qingyu, 2019. "Sensor fault detection and estimation for switched power electronics systems based on sliding mode observer," Applied Mathematics and Computation, Elsevier, vol. 353(C), pages 282-294.
    4. Joeri Rogelj & Alexander Popp & Katherine V. Calvin & Gunnar Luderer & Johannes Emmerling & David Gernaat & Shinichiro Fujimori & Jessica Strefler & Tomoko Hasegawa & Giacomo Marangoni & Volker Krey &, 2018. "Scenarios towards limiting global mean temperature increase below 1.5 °C," Nature Climate Change, Nature, vol. 8(4), pages 325-332, April.
    Full references (including those not matched with items on IDEAS)

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