Multi-layer photovoltaic fault detection algorithm

Multi-layer photovoltaic fault detection algorithm

This study proposes a fault detection algorithm based on the analysis of the theoretical curves which describe the behaviour of an existing grid-connected photovoltaic (GCPV) system. For a given set of working conditions, a number of attributes such as voltage ratio (VR) and power ratio (PR) are sim...

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Bibliographic Details
Main Authors: Mahmoud Dhimish, Violeta Holmes, Bruce Mehrdadi, Mark Dales
Format: Article
Language:English
Published: Wiley 2017-05-01
Series:High Voltage
Subjects:
fault diagnosis
photovoltaic power systems
power generation faults
virtual instrumentation
polynomials
fuzzy logic
power system simulation
multilayer photovoltaic fault detection algorithm
theoretical curves
grid-connected photovoltaic system
GCPV system
voltage ratio
power ratio
LabVIEW software
third-order polynomial function
PR ratios
VR ratios
real-time long-term data measurements
University of Huddersfield
United Kingdom
fuzzy logic classification system
output membership function
maximum detection accuracy
Online Access:https://digital-library.theiet.org/content/journals/10.1049/hve.2017.0044
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spelling doaj-158ee618b8414c79b76e720ab4f716502021-04-02T13:02:24ZengWileyHigh Voltage2397-72642017-05-0110.1049/hve.2017.0044HVE.2017.0044Multi-layer photovoltaic fault detection algorithmMahmoud Dhimish0Violeta Holmes1Bruce Mehrdadi2Mark Dales3University of HuddersfieldUniversity of HuddersfieldUniversity of HuddersfieldUniversity of HuddersfieldThis study proposes a fault detection algorithm based on the analysis of the theoretical curves which describe the behaviour of an existing grid-connected photovoltaic (GCPV) system. For a given set of working conditions, a number of attributes such as voltage ratio (VR) and power ratio (PR) are simulated using virtual instrumentation LabVIEWhttps://digital-library.theiet.org/content/journals/10.1049/hve.2017.0044fault diagnosisphotovoltaic power systemspower generation faultsvirtual instrumentationpolynomialsfuzzy logicpower system simulationmultilayer photovoltaic fault detection algorithmtheoretical curvesgrid-connected photovoltaic systemGCPV systemvoltage ratiopower ratiovirtual instrumentationLabVIEW softwarethird-order polynomial functionPR ratiosVR ratiosreal-time long-term data measurementsUniversity of HuddersfieldUnited Kingdomfuzzy logic classification systemoutput membership functionmaximum detection accuracy
collection DOAJ
language English
format Article
sources DOAJ
author Mahmoud Dhimish
Violeta Holmes
Bruce Mehrdadi
Mark Dales
spellingShingle Mahmoud Dhimish
Violeta Holmes
Bruce Mehrdadi
Mark Dales
Multi-layer photovoltaic fault detection algorithm
High Voltage
fault diagnosis
photovoltaic power systems
power generation faults
virtual instrumentation
polynomials
fuzzy logic
power system simulation
multilayer photovoltaic fault detection algorithm
theoretical curves
grid-connected photovoltaic system
GCPV system
voltage ratio
power ratio
virtual instrumentation
LabVIEW software
third-order polynomial function
PR ratios
VR ratios
real-time long-term data measurements
University of Huddersfield
United Kingdom
fuzzy logic classification system
output membership function
maximum detection accuracy
author_facet Mahmoud Dhimish
Violeta Holmes
Bruce Mehrdadi
Mark Dales
author_sort Mahmoud Dhimish
title Multi-layer photovoltaic fault detection algorithm
title_short Multi-layer photovoltaic fault detection algorithm
title_full Multi-layer photovoltaic fault detection algorithm
title_fullStr Multi-layer photovoltaic fault detection algorithm
title_full_unstemmed Multi-layer photovoltaic fault detection algorithm
title_sort multi-layer photovoltaic fault detection algorithm
publisher Wiley
series High Voltage
issn 2397-7264
publishDate 2017-05-01
description This study proposes a fault detection algorithm based on the analysis of the theoretical curves which describe the behaviour of an existing grid-connected photovoltaic (GCPV) system. For a given set of working conditions, a number of attributes such as voltage ratio (VR) and power ratio (PR) are simulated using virtual instrumentation LabVIEW
topic fault diagnosis
photovoltaic power systems
power generation faults
virtual instrumentation
polynomials
fuzzy logic
power system simulation
multilayer photovoltaic fault detection algorithm
theoretical curves
grid-connected photovoltaic system
GCPV system
voltage ratio
power ratio
virtual instrumentation
LabVIEW software
third-order polynomial function
PR ratios
VR ratios
real-time long-term data measurements
University of Huddersfield
United Kingdom
fuzzy logic classification system
output membership function
maximum detection accuracy
url https://digital-library.theiet.org/content/journals/10.1049/hve.2017.0044
work_keys_str_mv AT mahmouddhimish multilayerphotovoltaicfaultdetectionalgorithm
AT violetaholmes multilayerphotovoltaicfaultdetectionalgorithm
AT brucemehrdadi multilayerphotovoltaicfaultdetectionalgorithm
AT markdales multilayerphotovoltaicfaultdetectionalgorithm
_version_ 1721566686146985984

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