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Design and Development of an Online Smart Monitoring and Diagnosis System for Photovoltaic Distributed Generation

Author

Listed:
  • Thiago A. Felipe

    (Faculty of Electrical Engineering, Federal University of Uberlandia, Uberlândia 38400-902, Brazil)

  • Fernando C. Melo

    (Electrical Engineering Department, University of Brasilia, Brasília 70910-900, Brazil)

  • Luiz C. G. Freitas

    (Faculty of Electrical Engineering, Federal University of Uberlandia, Uberlândia 38400-902, Brazil)

Abstract

In photovoltaic power plants, fault diagnosis tools are essential for ensuring a high energy yield. These tools should be capable of accurately identifying and quantifying the factors behind the various fault mechanisms commonly found in photovoltaic plants. Considering the aforementioned factors, this article proposes an online smart PV monitoring solution, which is capable of detecting malfunctions that arise from accidental and/or technical causes through the analysis of I-V curves, however, without the necessity to interrupt the operation of the system, thus reducing the maintenance cost. Accidental causes can lead to the reduction of energy productivity due to the excessive accumulation of dirt on the photovoltaic modules, partial shading and eventual errors that occur during its installation. On the other hand, technical causes can be attributed to faults found on the photovoltaic modules, which lead to gradual losses in their electric and material characteristics. Therefore, by using the electric characteristics supplied by the manufacturer of the installed modules, the I-V and P-V curves of the operational photovoltaic strings were obtained in real time, compared to the respective theoretical curves obtained through mathematical modeling. In order to validate the proposed online monitoring system and its potential for predictive maintenance application, a field experimentation was mounted in a 93.8 kWp photovoltaic system.

Suggested Citation

  • Thiago A. Felipe & Fernando C. Melo & Luiz C. G. Freitas, 2021. "Design and Development of an Online Smart Monitoring and Diagnosis System for Photovoltaic Distributed Generation," Energies, MDPI, vol. 14(24), pages 1-13, December.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:24:p:8552-:d:705827
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    References listed on IDEAS

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    1. Siecker, J. & Kusakana, K. & Numbi, B.P., 2017. "A review of solar photovoltaic systems cooling technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 192-203.
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    1. Gianfranco Di Lorenzo & Erika Stracqualursi & Leonardo Micheli & Salvatore Celozzi & Rodolfo Araneo, 2022. "Prognostic Methods for Photovoltaic Systems’ Underperformance and Degradation: Status, Perspectives, and Challenges," Energies, MDPI, vol. 15(17), pages 1-6, September.

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