A Review of Fault Detection and Diagnosis Approaches for Photovoltaic Systems Using Voltage and Current Analysis

Over the previous decade, there has occurred a substantial worldwide proliferation in the utilisation of photovoltaic systems (PVSs) for the aim of utilizing solar power. Nevertheless, it is significant to acknowledge that faults can manifest in various components of these systems, including modules...

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Published in:2024 IEEE 4th International Conference in Power Engineering Applications: Powering the Future: Innovations for Sustainable Development, ICPEA 2024
Main Author: Muhammad N.; Ridzuan N.M.
Format: Conference paper
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191736335&doi=10.1109%2fICPEA60617.2024.10498573&partnerID=40&md5=efbc2bf312a16bc2a222e178537f53cd
id 2-s2.0-85191736335
spelling 2-s2.0-85191736335
Muhammad N.; Ridzuan N.M.
A Review of Fault Detection and Diagnosis Approaches for Photovoltaic Systems Using Voltage and Current Analysis
2024
2024 IEEE 4th International Conference in Power Engineering Applications: Powering the Future: Innovations for Sustainable Development, ICPEA 2024


10.1109/ICPEA60617.2024.10498573
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191736335&doi=10.1109%2fICPEA60617.2024.10498573&partnerID=40&md5=efbc2bf312a16bc2a222e178537f53cd
Over the previous decade, there has occurred a substantial worldwide proliferation in the utilisation of photovoltaic systems (PVSs) for the aim of utilizing solar power. Nevertheless, it is significant to acknowledge that faults can manifest in various components of these systems, including modules, connection lines, converters, and inverters. When left unaddressed, these faults, whether in stand-alone or grid- connected PVSs, can significantly impact the system's overall performance, energy output, security and reliability. Consequently, implementing fault detection and diagnostic (FDD) technologies becomes paramount to ensure optimal operational efficiency, system dependability, and the safety of PV installations. The principal aim of this study is to comprehensively analyze the numerous classifications of failures that may arise in PVSs while offering a complete evaluation of FDD methods that depend on the analysis of current and voltage data. The present article aims to classify data analysis methodologies according to the distinct fault detection techniques, the specific type of failure being targeted, the parameters being measured and the methodology being employed. © 2024 IEEE.
Institute of Electrical and Electronics Engineers Inc.

English
Conference paper

author Muhammad N.; Ridzuan N.M.
spellingShingle Muhammad N.; Ridzuan N.M.
A Review of Fault Detection and Diagnosis Approaches for Photovoltaic Systems Using Voltage and Current Analysis
author_facet Muhammad N.; Ridzuan N.M.
author_sort Muhammad N.; Ridzuan N.M.
title A Review of Fault Detection and Diagnosis Approaches for Photovoltaic Systems Using Voltage and Current Analysis
title_short A Review of Fault Detection and Diagnosis Approaches for Photovoltaic Systems Using Voltage and Current Analysis
title_full A Review of Fault Detection and Diagnosis Approaches for Photovoltaic Systems Using Voltage and Current Analysis
title_fullStr A Review of Fault Detection and Diagnosis Approaches for Photovoltaic Systems Using Voltage and Current Analysis
title_full_unstemmed A Review of Fault Detection and Diagnosis Approaches for Photovoltaic Systems Using Voltage and Current Analysis
title_sort A Review of Fault Detection and Diagnosis Approaches for Photovoltaic Systems Using Voltage and Current Analysis
publishDate 2024
container_title 2024 IEEE 4th International Conference in Power Engineering Applications: Powering the Future: Innovations for Sustainable Development, ICPEA 2024
container_volume
container_issue
doi_str_mv 10.1109/ICPEA60617.2024.10498573
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191736335&doi=10.1109%2fICPEA60617.2024.10498573&partnerID=40&md5=efbc2bf312a16bc2a222e178537f53cd
description Over the previous decade, there has occurred a substantial worldwide proliferation in the utilisation of photovoltaic systems (PVSs) for the aim of utilizing solar power. Nevertheless, it is significant to acknowledge that faults can manifest in various components of these systems, including modules, connection lines, converters, and inverters. When left unaddressed, these faults, whether in stand-alone or grid- connected PVSs, can significantly impact the system's overall performance, energy output, security and reliability. Consequently, implementing fault detection and diagnostic (FDD) technologies becomes paramount to ensure optimal operational efficiency, system dependability, and the safety of PV installations. The principal aim of this study is to comprehensively analyze the numerous classifications of failures that may arise in PVSs while offering a complete evaluation of FDD methods that depend on the analysis of current and voltage data. The present article aims to classify data analysis methodologies according to the distinct fault detection techniques, the specific type of failure being targeted, the parameters being measured and the methodology being employed. © 2024 IEEE.
publisher Institute of Electrical and Electronics Engineers Inc.
issn
language English
format Conference paper
accesstype
record_format scopus
collection Scopus
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