Staff View: Failure detection analysis of grid-connected photovoltaic systems in tropical climate region / Nurmalessa Muhammad @ Atan

Failure detection analysis of grid-connected photovoltaic systems in tropical climate region / Nurmalessa Muhammad @ Atan

Monitoring of photovoltaic (PV) system performance for optimum energy output in Malaysian climate is crucial due to the rapid development of PV system installation and application. For tropical climate condition, most of the related studies were on fault detection with very few were on failure detec...

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Main Author:	Muhammad @ Atan, Nurmalessa
Format:	Thesis
Language:	English
Published:	2020
Subjects:	Geographic information systems Geospatial data Historical geographic information systems
Online Access:	https://ir.uitm.edu.my/id/eprint/35004/1/35004.pdf https://ir.uitm.edu.my/id/eprint/35004/
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spelling	my.uitm.ir.350042022-03-28T06:53:26Z https://ir.uitm.edu.my/id/eprint/35004/ Failure detection analysis of grid-connected photovoltaic systems in tropical climate region / Nurmalessa Muhammad @ Atan Muhammad @ Atan, Nurmalessa Geographic information systems Geospatial data Historical geographic information systems Monitoring of photovoltaic (PV) system performance for optimum energy output in Malaysian climate is crucial due to the rapid development of PV system installation and application. For tropical climate condition, most of the related studies were on fault detection with very few were on failure detection (FD). Therefore, the aim of the study is to identify a fast, simple, and reliable method of FD on GCPV system in Malaysia. The objectives were: to develop the FD algorithm in GCPV system, to identify the types of fault occurrence in FD in GCPV system, and to verify the FD algorithm to be performed in Malaysian climate. The sources of data in this study were obtained from five sites in the testing and commissioning (T&C) of PV systems from Feed-in-Tariff (FiT) scheme under Sustainable Energy Development Authority (SEDA), and Green Energy Research Centre (GERC) Universiti Teknologi MARA (UiTM), Malaysia. Two additional sites from T&C of the FiT scheme were used for the verification of the new developed FD algorithm. These sites are in the Peninsular of Malaysia. Filtration and identification processes were performed to ensure the selection of reliable data. The FD algorithm has employed mathematical and statistical approaches to establish the relationship between the parameters. A modified threshold-based technique was used to build the FD algorithm based on data from PV system installed at GERC UiTM, Malaysia. The establishment of threshold value for DC array current ratio, Rc and DC string voltage ratio, Rv is optimal for the used in Malaysian climate conditions. The threshold value for Rc and Rv is 0.9721 and 0.9410, respectively. The results have shown the FD algorithm has successfully identified the types of failure occurrence in all the five PV systems. Finally, the verification on the two additional sites of FD algorithm has detected the 'No Fault' and 'Fault' as suggested by the type of failure occurrence and failure identification technique. 2020-07 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/35004/1/35004.pdf (2020) Failure detection analysis of grid-connected photovoltaic systems in tropical climate region / Nurmalessa Muhammad @ Atan. PhD thesis, thesis, Universiti Teknologi MARA.
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	Geographic information systems Geospatial data Historical geographic information systems
spellingShingle	Geographic information systems Geospatial data Historical geographic information systems Muhammad @ Atan, Nurmalessa Failure detection analysis of grid-connected photovoltaic systems in tropical climate region / Nurmalessa Muhammad @ Atan
description	Monitoring of photovoltaic (PV) system performance for optimum energy output in Malaysian climate is crucial due to the rapid development of PV system installation and application. For tropical climate condition, most of the related studies were on fault detection with very few were on failure detection (FD). Therefore, the aim of the study is to identify a fast, simple, and reliable method of FD on GCPV system in Malaysia. The objectives were: to develop the FD algorithm in GCPV system, to identify the types of fault occurrence in FD in GCPV system, and to verify the FD algorithm to be performed in Malaysian climate. The sources of data in this study were obtained from five sites in the testing and commissioning (T&C) of PV systems from Feed-in-Tariff (FiT) scheme under Sustainable Energy Development Authority (SEDA), and Green Energy Research Centre (GERC) Universiti Teknologi MARA (UiTM), Malaysia. Two additional sites from T&C of the FiT scheme were used for the verification of the new developed FD algorithm. These sites are in the Peninsular of Malaysia. Filtration and identification processes were performed to ensure the selection of reliable data. The FD algorithm has employed mathematical and statistical approaches to establish the relationship between the parameters. A modified threshold-based technique was used to build the FD algorithm based on data from PV system installed at GERC UiTM, Malaysia. The establishment of threshold value for DC array current ratio, Rc and DC string voltage ratio, Rv is optimal for the used in Malaysian climate conditions. The threshold value for Rc and Rv is 0.9721 and 0.9410, respectively. The results have shown the FD algorithm has successfully identified the types of failure occurrence in all the five PV systems. Finally, the verification on the two additional sites of FD algorithm has detected the 'No Fault' and 'Fault' as suggested by the type of failure occurrence and failure identification technique.
format	Thesis
author	Muhammad @ Atan, Nurmalessa
author_facet	Muhammad @ Atan, Nurmalessa
author_sort	Muhammad @ Atan, Nurmalessa
title	Failure detection analysis of grid-connected photovoltaic systems in tropical climate region / Nurmalessa Muhammad @ Atan
title_short	Failure detection analysis of grid-connected photovoltaic systems in tropical climate region / Nurmalessa Muhammad @ Atan
title_full	Failure detection analysis of grid-connected photovoltaic systems in tropical climate region / Nurmalessa Muhammad @ Atan
title_fullStr	Failure detection analysis of grid-connected photovoltaic systems in tropical climate region / Nurmalessa Muhammad @ Atan
title_full_unstemmed	Failure detection analysis of grid-connected photovoltaic systems in tropical climate region / Nurmalessa Muhammad @ Atan
title_sort	failure detection analysis of grid-connected photovoltaic systems in tropical climate region / nurmalessa muhammad @ atan
publishDate	2020
url	https://ir.uitm.edu.my/id/eprint/35004/1/35004.pdf https://ir.uitm.edu.my/id/eprint/35004/
_version_	1729707457464238080
score	13.211869

Failure detection analysis of grid-connected photovoltaic systems in tropical climate region / Nurmalessa Muhammad @ Atan

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