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

Muhammad @ Atan, Nurmalessa (2020) Failure detection analysis of grid-connected photovoltaic systems in tropical climate region / Nurmalessa Muhammad @ Atan. PhD thesis, Universiti Teknologi MARA.

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Abstract

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.

Metadata

Item Type: Thesis (PhD)
Creators:
Creators
Email
Muhammad @ Atan, Nurmalessa
2015653044
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Zakaria, Nor Zaini Ikrom (Associate Professor Dr. )
UNSPECIFIED
Subjects: G Geography. Anthropology. Recreation > G Geography (General) > Geographic information systems
G Geography. Anthropology. Recreation > G Geography (General) > Geographic information systems > Geospatial data
G Geography. Anthropology. Recreation > G Geography (General) > Geographic information systems > Historical geographic information systems
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Applied Sciences
Programme: AS950
Item ID: 35004
Uncontrolled Keywords: Photovoltaic, Tropical, Grid-Connected
URI: https://ir.uitm.edu.my/id/eprint/35004

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