A Review of Practical Algorithms for Fault Diagnosis at DC side of Photovoltaic Systems and Future Research Trends

Authors

  • Wattanasak Srisiri Chulalongkorn University
  • Ngoc Thien Le Chulalongkorn University
  • Muhammad Asim Saleem Chulalongkorn University
  • Pasu Kaewplung Chulalongkorn University
  • Watit Benjapolakul Chulalongkorn University
  • Surachai Chaitusaney Chulalongkorn University
  • Sotdhipong Phichaisawat Chulalongkorn University

DOI:

https://doi.org/10.4186/ej.2025.29.9.29

Keywords:

fault diagnosis, fault classification, fault detection, photovoltaic systems

Abstract

Photovoltaic systems have been under development for many years. However, their energy production is low compared to other systems. From 2016 to 2022, the research goal was to develop a fault diagnosis that evolves from inverter functional analysis to comprehensive monitoring systems. Currently, it is a major challenge to propose a commercially viable product. This review article focuses on fault diagnosis algorithms on the PV DC side for real-world applications. We analyzed 100 studies published between 2017 and 2024, considering nine factors PV array size on the DC side, data collection method, number of data sets, the fault itself, fault location, diagnosis accuracy, diagnosis time, input data for the algorithm and the diagnosis algorithm used. We summarize the strengths and weaknesses of each study in terms of practical implementation and highlight new technological trends. In addition, we discuss how new technologies for PV fault diagnosis on the DC side are tested and evaluated. Our contribution is intended to guide research in the field of PV fault diagnostics and help ensure that it can be used commercially in the future.

Downloads

Download data is not yet available.

Author Biographies

Wattanasak Srisiri
Google Scholar

Center of Excellence in Artificial Intelligence, Machine Learning, and Smart Grid Technology, Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand

Ngoc Thien Le
Google Scholar

Center of Excellence in Artificial Intelligence, Machine Learning, and Smart Grid Technology, Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand

Muhammad Asim Saleem
Google Scholar

Center of Excellence in Artificial Intelligence, Machine Learning, and Smart Grid Technology, Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand

Pasu Kaewplung
Google Scholar

Center of Excellence in Artificial Intelligence, Machine Learning, and Smart Grid Technology, Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand

Watit Benjapolakul
Google Scholar

Center of Excellence in Artificial Intelligence, Machine Learning, and Smart Grid Technology, Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand

Surachai Chaitusaney
Google Scholar

Center of Excellence in Artificial Intelligence, Machine Learning, and Smart Grid Technology, Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand

Sotdhipong Phichaisawat
Google Scholar

Center of Excellence in Artificial Intelligence, Machine Learning, and Smart Grid Technology, Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand

Downloads

Published In
Vol 29 No 9, Sep 30, 2025
How to Cite
[1]
W. Srisiri, “A Review of Practical Algorithms for Fault Diagnosis at DC side of Photovoltaic Systems and Future Research Trends”, Eng. J., vol. 29, no. 9, pp. 29-58, Sep. 2025.
Cited By
Find in Google Scholar

Authors who publish with Engineering Journal agree to transfer all copyright rights in and to the above work to the Engineering Journal (EJ)'s Editorial Board so that EJ's Editorial Board shall have the right to publish the work for nonprofit use in any media or form. In return, authors retain: (1) all proprietary rights other than copyright; (2) re-use of all or part of the above paper in their other work; (3) right to reproduce or authorize others to reproduce the above paper for authors' personal use or for company use if the source and EJ's copyright notice is indicated, and if the reproduction is not made for the purpose of sale.