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Performance Monitoring Algorithm for Detection of Encapsulation Failures and Cell Corrosion in PV Modules

Author

Listed:
  • Easter Joseph

    (Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Perak Darul Ridzuan, Malaysia)

  • Pradeep Menon Vijaya Kumar

    (Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Perak Darul Ridzuan, Malaysia)

  • Balbir Singh Mahinder Singh

    (Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Perak Darul Ridzuan, Malaysia)

  • Dennis Ling Chuan Ching

    (Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Perak Darul Ridzuan, Malaysia)

Abstract

This research work aims to develop a fault detection and performance monitoring system for a photovoltaic (PV) system that can detect and communicate errors to the user. The proposed system uses real-time data from various sensors to identify performance problems and faults in the PV system, particularly for encapsulation failure and module corrosion. The system incorporates a user interface that operates on a micro-computer utilizing Python software to show the detected errors from the PV miniature scale system. Fault detection is achieved by comparing the One-diode model with a controlled state retrieved through field testing. A database is generated by the system based on acceptable training data and it serves as a reference point for detecting faults. The user is notified of any deviations based on the threshold value from the training data as an indication of an error by the system. The system offers real-time monitoring, easy-to-understand error messages, and remote access capability, making it an efficient and effective tool for both users and maintenance personnel to manage and maintain the PV system.

Suggested Citation

  • Easter Joseph & Pradeep Menon Vijaya Kumar & Balbir Singh Mahinder Singh & Dennis Ling Chuan Ching, 2023. "Performance Monitoring Algorithm for Detection of Encapsulation Failures and Cell Corrosion in PV Modules," Energies, MDPI, vol. 16(8), pages 1-12, April.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:8:p:3391-:d:1121685
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    References listed on IDEAS

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    1. Rahman, M.Mahbubur & Selvaraj, J. & Rahim, N.A. & Hasanuzzaman, M., 2018. "Global modern monitoring systems for PV based power generation: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 4142-4158.
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    Cited by:

    1. Faris E. Alfaris & Essam A. Al-Ammar & Ghazi A. Ghazi & Ahmed A. AL-Katheri, 2024. "A Cost-Effective Fault Diagnosis and Localization Approach for Utility-Scale PV Systems Using Limited Number of Sensors," Sustainability, MDPI, vol. 16(15), pages 1-25, July.

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