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Failure detection analysis of grid-connected photovoltaic system using an improved comparative based method / Fatin Azirah Mohd Shukor

All around the globe, prodigious growth of Grid-Connected Photovoltaic (GCPV) systems installation is observed including Malaysia. In order to gain feasible economic return, failure detection (FD) mechanisms are given utmost attention to monitor the performance and yet able to detect fault occurrenc...

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Main Author: Mohd Shukor, Fatin Azirah
Format: Thesis
Language:English
Published: 2022
Subjects:
TA Engineering. Civil engineering
Photovoltaic power systems
Online Access:https://ir.uitm.edu.my/id/eprint/75903/1/75903.pdf
https://ir.uitm.edu.my/id/eprint/75903/
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spelling my.uitm.ir.759032023-05-08T08:24:12Z https://ir.uitm.edu.my/id/eprint/75903/ Failure detection analysis of grid-connected photovoltaic system using an improved comparative based method / Fatin Azirah Mohd Shukor Mohd Shukor, Fatin Azirah TA Engineering. Civil engineering Photovoltaic power systems All around the globe, prodigious growth of Grid-Connected Photovoltaic (GCPV) systems installation is observed including Malaysia. In order to gain feasible economic return, failure detection (FD) mechanisms are given utmost attention to monitor the performance and yet able to detect fault occurrence of the operating GCPV system especially in the form of analysis algorithm. Numerous studies have reported FD analysis algorithm using comparative based method (CBM), but limitedly demonstrate the FD analysis sequence that will finally determine the type of failure occurred in the GCPV system. Moreover, the evaluation on the reliability of the FD analysis algorithm applied using large amount of field data instead of simulated data is still limited and significant, especially in the context of tropical climate conditions. Thus, the aim of this study is to detect fault occurrence in GCPV system via three consecutive FD analysis of comparison between actual AC power and predicted AC power as early FD, evaluation of AR values against AR threshold of 0.9 as intermediate FD and determination of type of failure through current and voltage ratio methods as advance FD based on CBM method. The analysis was conducted using one-year historical data of 2019 from eight selected GCPV systems as the case studies. Based on the early FD of AC power comparison, two systems (System 7 and System 8) were identified as showing early failure symptoms with percentage difference of gradients between actual AC power and predicted AC power were 26 % and 52 % respectively. Furthermore, through the evaluation of AR values against AR of 0.9, the maximum monthly cumulative percentage of AR (MMCPAR) less than 0.9 for System 7 and System 8 were 67 % and 95 % respectively, i.e more than 50 %. The early and intermediate FD analysis conducted have confirmed that System 7 and System 8 were having failure. Finally, via advance FD analysis of current and voltage ratio, System 7 was detected as having partial shading problem, meanwhile System 8 was having abnormal inverter shut down problem. This study has demonstrated a sequential FD analysis algorithm, which ultimately succeeded to determine the type of fault occurred in the GCPV system and it is worthy to be embedded in FD software for GCPV system. 2022 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/75903/1/75903.pdf Failure detection analysis of grid-connected photovoltaic system using an improved comparative based method / Fatin Azirah Mohd Shukor. (2022) Masters thesis, thesis, Universiti Teknologi MARA (UiTM). <http://terminalib.uitm.edu.my/75903.pdf>
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic TA Engineering. Civil engineering
Photovoltaic power systems
spellingShingle TA Engineering. Civil engineering
Photovoltaic power systems
Mohd Shukor, Fatin Azirah
Failure detection analysis of grid-connected photovoltaic system using an improved comparative based method / Fatin Azirah Mohd Shukor
description All around the globe, prodigious growth of Grid-Connected Photovoltaic (GCPV) systems installation is observed including Malaysia. In order to gain feasible economic return, failure detection (FD) mechanisms are given utmost attention to monitor the performance and yet able to detect fault occurrence of the operating GCPV system especially in the form of analysis algorithm. Numerous studies have reported FD analysis algorithm using comparative based method (CBM), but limitedly demonstrate the FD analysis sequence that will finally determine the type of failure occurred in the GCPV system. Moreover, the evaluation on the reliability of the FD analysis algorithm applied using large amount of field data instead of simulated data is still limited and significant, especially in the context of tropical climate conditions. Thus, the aim of this study is to detect fault occurrence in GCPV system via three consecutive FD analysis of comparison between actual AC power and predicted AC power as early FD, evaluation of AR values against AR threshold of 0.9 as intermediate FD and determination of type of failure through current and voltage ratio methods as advance FD based on CBM method. The analysis was conducted using one-year historical data of 2019 from eight selected GCPV systems as the case studies. Based on the early FD of AC power comparison, two systems (System 7 and System 8) were identified as showing early failure symptoms with percentage difference of gradients between actual AC power and predicted AC power were 26 % and 52 % respectively. Furthermore, through the evaluation of AR values against AR of 0.9, the maximum monthly cumulative percentage of AR (MMCPAR) less than 0.9 for System 7 and System 8 were 67 % and 95 % respectively, i.e more than 50 %. The early and intermediate FD analysis conducted have confirmed that System 7 and System 8 were having failure. Finally, via advance FD analysis of current and voltage ratio, System 7 was detected as having partial shading problem, meanwhile System 8 was having abnormal inverter shut down problem. This study has demonstrated a sequential FD analysis algorithm, which ultimately succeeded to determine the type of fault occurred in the GCPV system and it is worthy to be embedded in FD software for GCPV system.
format Thesis
author Mohd Shukor, Fatin Azirah
author_facet Mohd Shukor, Fatin Azirah
author_sort Mohd Shukor, Fatin Azirah
title Failure detection analysis of grid-connected photovoltaic system using an improved comparative based method / Fatin Azirah Mohd Shukor
title_short Failure detection analysis of grid-connected photovoltaic system using an improved comparative based method / Fatin Azirah Mohd Shukor
title_full Failure detection analysis of grid-connected photovoltaic system using an improved comparative based method / Fatin Azirah Mohd Shukor
title_fullStr Failure detection analysis of grid-connected photovoltaic system using an improved comparative based method / Fatin Azirah Mohd Shukor
title_full_unstemmed Failure detection analysis of grid-connected photovoltaic system using an improved comparative based method / Fatin Azirah Mohd Shukor
title_sort failure detection analysis of grid-connected photovoltaic system using an improved comparative based method / fatin azirah mohd shukor
publishDate 2022
url https://ir.uitm.edu.my/id/eprint/75903/1/75903.pdf
https://ir.uitm.edu.my/id/eprint/75903/
_version_ 1768011564766461952
score 13.211869

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