Detection and Classification of Faults in a Photovoltaic System—A New Hybrid Algorithm

Four main types of faults can occur at the DC side of any Photovoltaic System (PVS). These faults are quite dangerous and can cause permanent damage to the photovoltaic modules if not addressed promptly. The faults include open circuit, short circuit, degradation, and partial shading. Short circuit faults are classified into line-to-line (L-L) and line-to-ground (L-G). Detecting these faults requires specialized algorithms. This paper tackles this complex issue through (1) fault-finding equations and the placement of current sensors, and (2) a new hybrid algorithm based on data from the fault-finding equations and current sensors. Numerous simulations using PSIM 2021 were conducted to verify this proposed solution. The hybrid algorithm presented here is original compared to previous studies. It is easy to understand, responds quickly, and can be implemented in systems with photovoltaic arrays of any size.

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Publication Details

Journal
Clean energy and sustainability
Published
2025-01-01
DOI
https://doi.org/10.70322/ces.2025.10014
Primary Topic
Photovoltaic System Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Detection and Classification of Faults in a Photovoltaic System—A New Hybrid Algorithm

K Abdul, Z. Rida, Muhammad Qasim, Habib Kashif et al.
Clean energy and sustainability
Photovoltaic System Optimization Techniques
article

Detection and Classification of Faults in a Photovoltaic System—A New Hybrid Algorithm

K Abdul, Z. Rida, Muhammad Qasim, Habib Kashif, Abdullah Muhammad, Kabeer Fajar, Basit Shakir Muhammad
article en

Abstract

Four main types of faults can occur at the DC side of any Photovoltaic System (PVS). These faults are quite dangerous and can cause permanent damage to the photovoltaic modules if not addressed promptly. The faults include open circuit, short circuit, degradation, and partial shading. Short circuit faults are classified into line-to-line (L-L) and line-to-ground (L-G). Detecting these faults requires specialized algorithms. This paper tackles this complex issue through (1) fault-finding equations and the placement of current sensors, and (2) a new hybrid algorithm based on data from the fault-finding equations and current sensors. Numerous simulations using PSIM 2021 were conducted to verify this proposed solution. The hybrid algorithm presented here is original compared to previous studies. It is easy to understand, responds quickly, and can be implemented in systems with photovoltaic arrays of any size.

Clean energy and sustainabilityVol. 3(4)
University of the Punjab
Openalex Percentile: Top 81%
Photovoltaic System Optimization Techniques
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Detection and Classification of Faults in a Photovoltaic System—A New Hybrid Algorithm — K Abdul, Z. Rida, et al. · Clean energy and sustainability (2025) | TGRS Research Map | TGRS