Automated Fault Management System in a Photovoltaic Array: A Reconfiguration-Based Approach

This work proposes an automated reconfiguration system to manage two types of faults in any position inside the solar arrays. The faults studied are the short-circuit to ground and the open wires in the string. These faults were selected because they severely affect power production. By identifying...

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Main Authors: Luis D. Murillo-Soto, Carlos Meza
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/14/9/2397
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spelling doaj-ed09768a1e42460382ce62e1ab5e10fd2021-04-23T23:01:54ZengMDPI AGEnergies1996-10732021-04-01142397239710.3390/en14092397Automated Fault Management System in a Photovoltaic Array: A Reconfiguration-Based ApproachLuis D. Murillo-Soto0Carlos Meza1School of Electromechanical Engineering, Costa Rica Institute of Technology, Cartago 30101, Costa RicaSchool of Electronic Engineering, Costa Rica Institute of Technology, Cartago 30101, Costa RicaThis work proposes an automated reconfiguration system to manage two types of faults in any position inside the solar arrays. The faults studied are the short-circuit to ground and the open wires in the string. These faults were selected because they severely affect power production. By identifying the affected panels and isolating the faulty one, it is possible to recover part of the power loss. Among other types of faults that the system can detect and locate are: diode short-circuit, internal open-circuit, and the degradation of the internal parasitic serial resistance. The reconfiguration system can detect, locate the above faults, and switch the distributed commutators to recover most of the power loss. Moreover, the system can return automatically to the previous state when the fault has been repaired. A SIMULINK model has been built to prove this automatic system, and a simulated numerical experiment has been executed to test the system response to the faults mentioned. The results show that the recovery of power is more than 90%, and the diagnosis accuracy and sensitivity are both 100% for this numerical experiment.https://www.mdpi.com/1996-1073/14/9/2397photovoltaic simulationdistributed switching matrixfault diagnosisreconfiguration algorithmsreal-time algorithms
collection DOAJ
language English
format Article
sources DOAJ
author Luis D. Murillo-Soto
Carlos Meza
spellingShingle Luis D. Murillo-Soto
Carlos Meza
Automated Fault Management System in a Photovoltaic Array: A Reconfiguration-Based Approach
Energies
photovoltaic simulation
distributed switching matrix
fault diagnosis
reconfiguration algorithms
real-time algorithms
author_facet Luis D. Murillo-Soto
Carlos Meza
author_sort Luis D. Murillo-Soto
title Automated Fault Management System in a Photovoltaic Array: A Reconfiguration-Based Approach
title_short Automated Fault Management System in a Photovoltaic Array: A Reconfiguration-Based Approach
title_full Automated Fault Management System in a Photovoltaic Array: A Reconfiguration-Based Approach
title_fullStr Automated Fault Management System in a Photovoltaic Array: A Reconfiguration-Based Approach
title_full_unstemmed Automated Fault Management System in a Photovoltaic Array: A Reconfiguration-Based Approach
title_sort automated fault management system in a photovoltaic array: a reconfiguration-based approach
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2021-04-01
description This work proposes an automated reconfiguration system to manage two types of faults in any position inside the solar arrays. The faults studied are the short-circuit to ground and the open wires in the string. These faults were selected because they severely affect power production. By identifying the affected panels and isolating the faulty one, it is possible to recover part of the power loss. Among other types of faults that the system can detect and locate are: diode short-circuit, internal open-circuit, and the degradation of the internal parasitic serial resistance. The reconfiguration system can detect, locate the above faults, and switch the distributed commutators to recover most of the power loss. Moreover, the system can return automatically to the previous state when the fault has been repaired. A SIMULINK model has been built to prove this automatic system, and a simulated numerical experiment has been executed to test the system response to the faults mentioned. The results show that the recovery of power is more than 90%, and the diagnosis accuracy and sensitivity are both 100% for this numerical experiment.
topic photovoltaic simulation
distributed switching matrix
fault diagnosis
reconfiguration algorithms
real-time algorithms
url https://www.mdpi.com/1996-1073/14/9/2397
work_keys_str_mv AT luisdmurillosoto automatedfaultmanagementsysteminaphotovoltaicarrayareconfigurationbasedapproach
AT carlosmeza automatedfaultmanagementsysteminaphotovoltaicarrayareconfigurationbasedapproach
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