Fault detection algorithm for multiple GCPV array configurations

Mahmoud Dhimish, Violeta Holmes, Mark Dales, Peter Mather, Martin Sibley, Benjamin Chong, Li Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In this paper, a fault detection algorithm for multiple grid-connected photovoltaic (GCPV) array configurations is introduced. For a given set of conditions such as solar irradiance and photovoltaic module temperature, a number of attributes such as power, voltage and current are calculated using a mathematical simulation model. Virtual instrumentation (VI) LabVIEW software is used to monitor the performance of the GCPV system and to simulate the theoretical I-V and P-V curves of the examined system. The fault detection algorithm is evaluated on multiple GCPV array configurations such as series, parallel and series-parallel array configuration. The fault detection algorithm has been validated using 1.98 kWp GCPV system installed at the University of Huddersfield. The results indicates that the algorithm is capable to detect multiple faults in the examined GCPV plant and can therefore be used in large GCPV installations
LanguageEnglish
Title of host publication2017 IEEE Manchester PowerTech
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781509042371
ISBN (Print)9781509042388
DOIs
Publication statusPublished - 20 Jul 2017
Event12th IEEE Power and Energy Society PowerTech Conference: Towards and Beyond Sustainable Energy Systems - University of Manchester, Manchester, United Kingdom
Duration: 18 Jun 201722 Jun 2017
Conference number: 12
http://sites.ieee.org/pes-powertech/ (Link to Conference Website )

Conference

Conference12th IEEE Power and Energy Society PowerTech Conference
CountryUnited Kingdom
CityManchester
Period18/06/1722/06/17
Internet address

Fingerprint

Fault detection
Electric potential
Temperature

Cite this

Dhimish, M., Holmes, V., Dales, M., Mather, P., Sibley, M., Chong, B., & Zhang, L. (2017). Fault detection algorithm for multiple GCPV array configurations. In 2017 IEEE Manchester PowerTech Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PTC.2017.7980825
Dhimish, Mahmoud ; Holmes, Violeta ; Dales, Mark ; Mather, Peter ; Sibley, Martin ; Chong, Benjamin ; Zhang, Li. / Fault detection algorithm for multiple GCPV array configurations. 2017 IEEE Manchester PowerTech. Institute of Electrical and Electronics Engineers Inc., 2017.
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title = "Fault detection algorithm for multiple GCPV array configurations",
abstract = "In this paper, a fault detection algorithm for multiple grid-connected photovoltaic (GCPV) array configurations is introduced. For a given set of conditions such as solar irradiance and photovoltaic module temperature, a number of attributes such as power, voltage and current are calculated using a mathematical simulation model. Virtual instrumentation (VI) LabVIEW software is used to monitor the performance of the GCPV system and to simulate the theoretical I-V and P-V curves of the examined system. The fault detection algorithm is evaluated on multiple GCPV array configurations such as series, parallel and series-parallel array configuration. The fault detection algorithm has been validated using 1.98 kWp GCPV system installed at the University of Huddersfield. The results indicates that the algorithm is capable to detect multiple faults in the examined GCPV plant and can therefore be used in large GCPV installations",
keywords = "Photovoltaic PV, Fault detection algorithm, GCPV multiple array configurations, VI LabVIEW software",
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Dhimish, M, Holmes, V, Dales, M, Mather, P, Sibley, M, Chong, B & Zhang, L 2017, Fault detection algorithm for multiple GCPV array configurations. in 2017 IEEE Manchester PowerTech. Institute of Electrical and Electronics Engineers Inc., 12th IEEE Power and Energy Society PowerTech Conference, Manchester, United Kingdom, 18/06/17. https://doi.org/10.1109/PTC.2017.7980825

Fault detection algorithm for multiple GCPV array configurations. / Dhimish, Mahmoud; Holmes, Violeta; Dales, Mark; Mather, Peter; Sibley, Martin; Chong, Benjamin; Zhang, Li.

2017 IEEE Manchester PowerTech. Institute of Electrical and Electronics Engineers Inc., 2017.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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T1 - Fault detection algorithm for multiple GCPV array configurations

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AU - Holmes, Violeta

AU - Dales, Mark

AU - Mather, Peter

AU - Sibley, Martin

AU - Chong, Benjamin

AU - Zhang, Li

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N2 - In this paper, a fault detection algorithm for multiple grid-connected photovoltaic (GCPV) array configurations is introduced. For a given set of conditions such as solar irradiance and photovoltaic module temperature, a number of attributes such as power, voltage and current are calculated using a mathematical simulation model. Virtual instrumentation (VI) LabVIEW software is used to monitor the performance of the GCPV system and to simulate the theoretical I-V and P-V curves of the examined system. The fault detection algorithm is evaluated on multiple GCPV array configurations such as series, parallel and series-parallel array configuration. The fault detection algorithm has been validated using 1.98 kWp GCPV system installed at the University of Huddersfield. The results indicates that the algorithm is capable to detect multiple faults in the examined GCPV plant and can therefore be used in large GCPV installations

AB - In this paper, a fault detection algorithm for multiple grid-connected photovoltaic (GCPV) array configurations is introduced. For a given set of conditions such as solar irradiance and photovoltaic module temperature, a number of attributes such as power, voltage and current are calculated using a mathematical simulation model. Virtual instrumentation (VI) LabVIEW software is used to monitor the performance of the GCPV system and to simulate the theoretical I-V and P-V curves of the examined system. The fault detection algorithm is evaluated on multiple GCPV array configurations such as series, parallel and series-parallel array configuration. The fault detection algorithm has been validated using 1.98 kWp GCPV system installed at the University of Huddersfield. The results indicates that the algorithm is capable to detect multiple faults in the examined GCPV plant and can therefore be used in large GCPV installations

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Dhimish M, Holmes V, Dales M, Mather P, Sibley M, Chong B et al. Fault detection algorithm for multiple GCPV array configurations. In 2017 IEEE Manchester PowerTech. Institute of Electrical and Electronics Engineers Inc. 2017 https://doi.org/10.1109/PTC.2017.7980825