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Wireless Diagnosis and Control of DC–DC Converter for Off-Grid Photovoltaic Systems

Author

Listed:
  • Reda El Abbadi

    (LAMISNE, Polydisciplinary Faculty of Taroudant, Ibn Zohr University, Agadir P.O. Box 8106, Morocco
    These authors contributed equally to this work.)

  • Mohamed Aatabe

    (LISTI, National School of Applied Sciences, Ibn Zohr University, Agadir P.O. Box 1136, Morocco
    These authors contributed equally to this work.)

  • Allal El Moubarek Bouzid

    (Research and Higher Education Department, ICAM School of Engineering, Toulouse Campus, 75 av. de Grande Bretagne, 31076 Toulouse, France)

Abstract

Integrating a photovoltaic (PV) microgrid system with wireless network control heralds a new era for renewable energy systems. This fusion capitalizes on the strengths of photovoltaic technology, leveraging solar energy for electricity generation while incorporating advanced networked control capabilities. Although employing network communication to facilitate information exchange among system elements offers benefits, it also introduces novel challenges which can hinder fault diagnosis, such as packet loss and communication delay. This paper focuses on a cloud-based fault detection approach for an effective boost converter within a photovoltaic system. Faults are diagnosed using a detection algorithm based on the Lyapunov function, ensuring power optimization. The effectiveness of our approach is demonstrated through simulations of a PV generator model utilizing real-time weather data collected in Brazil, illustrating its robustness through the acquired results.

Suggested Citation

  • Reda El Abbadi & Mohamed Aatabe & Allal El Moubarek Bouzid, 2024. "Wireless Diagnosis and Control of DC–DC Converter for Off-Grid Photovoltaic Systems," Sustainability, MDPI, vol. 16(8), pages 1-20, April.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:8:p:3252-:d:1375082
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    References listed on IDEAS

    as
    1. Jun Hu & Hongxu Zhang & Hongjian Liu & Xiaoyang Yu, 2021. "A survey on sliding mode control for networked control systems," International Journal of Systems Science, Taylor & Francis Journals, vol. 52(6), pages 1129-1147, April.
    2. Ahmad Rivai & Nasrudin Abd Rahim & Mohamad Fathi Mohamad Elias & Jafferi Jamaludin, 2019. "Analysis of Photovoltaic String Failure and Health Monitoring with Module Fault Identification," Energies, MDPI, vol. 13(1), pages 1-16, December.
    3. Khabou, H. & Souissi, M. & Aitouche, A., 2020. "MPPT implementation on boost converter by using T–S fuzzy method," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 167(C), pages 119-134.
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