Fault detection algorithm for multiple GCPV array configurations

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

doi:10.1109/PTC.2017.7980825

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 proceeding › Conference contribution › peer-review

4 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

Original language	English
Title of host publication	2017 IEEE Manchester PowerTech
Publisher	Institute of Electrical and Electronics Engineers Inc.
Number of pages	6
ISBN (Electronic)	9781509042371
ISBN (Print)	9781509042388
DOIs	https://doi.org/10.1109/PTC.2017.7980825
Publication status	Published - 20 Jul 2017
Event	12th IEEE Power and Energy Society PowerTech Conference: Towards and Beyond Sustainable Energy Systems - University of Manchester, Manchester, United Kingdom Duration: 18 Jun 2017 → 22 Jun 2017 Conference number: 12 http://sites.ieee.org/pes-powertech/ (Link to Conference Website )

Conference

Conference	12th IEEE Power and Energy Society PowerTech Conference
Country/Territory	United Kingdom
City	Manchester
Period	18/06/17 → 22/06/17
Internet address	http://sites.ieee.org/pes-powertech/ (Link to Conference Website )

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/PTC.2017.7980825Licence: Unspecified

http://eprints.hud.ac.uk/id/eprint/33467/Licence: Unspecified
http://ieeexplore.ieee.org/document/7980825/Licence: Unspecified

Cite this

@inproceedings{62c219750edd4fb398e755ebdb1ec0a4,

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",

author = "Mahmoud Dhimish and Violeta Holmes and Mark Dales and Peter Mather and Martin Sibley and Benjamin Chong and Li Zhang",

year = "2017",

month = jul,

day = "20",

doi = "10.1109/PTC.2017.7980825",

language = "English",

isbn = "9781509042388",

booktitle = "2017 IEEE Manchester PowerTech",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "12th IEEE Power and Energy Society PowerTech Conference : Towards and Beyond Sustainable Energy Systems ; Conference date: 18-06-2017 Through 22-06-2017",

url = "http://sites.ieee.org/pes-powertech/",

}

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

TY - GEN

T1 - Fault detection algorithm for multiple GCPV array configurations

AU - Dhimish, Mahmoud

AU - Holmes, Violeta

AU - Dales, Mark

AU - Mather, Peter

AU - Sibley, Martin

AU - Chong, Benjamin

AU - Zhang, Li

N1 - Conference code: 12

PY - 2017/7/20

Y1 - 2017/7/20

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

KW - Photovoltaic PV

KW - Fault detection algorithm

KW - GCPV multiple array configurations

KW - VI LabVIEW software

U2 - 10.1109/PTC.2017.7980825

DO - 10.1109/PTC.2017.7980825

M3 - Conference contribution

SN - 9781509042388

BT - 2017 IEEE Manchester PowerTech

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 12th IEEE Power and Energy Society PowerTech Conference

Y2 - 18 June 2017 through 22 June 2017

ER -

Fault detection algorithm for multiple GCPV array configurations

Abstract

Conference

UN SDGs

Access to Document

Fingerprint

Cite this