Staff View: Analysis of Photovoltaic String Failure and Health Monitoring with Module Fault Identification

Analysis of Photovoltaic String Failure and Health Monitoring with Module Fault Identification

In this paper, photovoltaic (PV) string failure analysis and health monitoring of PV modules based on a low-cost self-powered wireless sensor network (WSN) are presented. Simple and effective fault detection and diagnosis method based on the real-time operating voltage of PV modules is proposed. The...

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Main Authors:	Rivai, Ahmad, Rahim, Nasrudin Abd, Elias, Mohamad Fathi Mohamad, Jamaludin, Jafferi
Format:	Article
Published:	MDPI 2019
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.um.edu.my/23646/ https://doi.org/10.3390/en13010100
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spelling	my.um.eprints.236462020-02-03T03:16:44Z http://eprints.um.edu.my/23646/ Analysis of Photovoltaic String Failure and Health Monitoring with Module Fault Identification Rivai, Ahmad Rahim, Nasrudin Abd Elias, Mohamad Fathi Mohamad Jamaludin, Jafferi TK Electrical engineering. Electronics Nuclear engineering In this paper, photovoltaic (PV) string failure analysis and health monitoring of PV modules based on a low-cost self-powered wireless sensor network (WSN) are presented. Simple and effective fault detection and diagnosis method based on the real-time operating voltage of PV modules is proposed. The proposed method is verified using the developed health monitoring system which is installed in a grid-connected PV system. Each of the PV modules is monitored via WSN to detect any individual faulty module. The analysis of PV string failure includes several electrical fault scenarios and their impact on the PV string characteristics. The results show that a degraded or faulty module exhibits low operating voltage as compared to the normal module. The developed health monitoring system also includes a graphical user interface (GUI) program which graphically displays the real-time operating voltage of each module with colors and thus helping users to identify the faulty modules easily. The faulty modules identification approach is further validated using the PV module electroluminescence (EL) imaging system. © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). MDPI 2019 Article PeerReviewed Rivai, Ahmad and Rahim, Nasrudin Abd and Elias, Mohamad Fathi Mohamad and Jamaludin, Jafferi (2019) Analysis of Photovoltaic String Failure and Health Monitoring with Module Fault Identification. Energies, 13 (1). p. 100. ISSN 1996-1073 https://doi.org/10.3390/en13010100 doi:10.3390/en13010100
institution	Universiti Malaya
building	UM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaya
content_source	UM Research Repository
url_provider	http://eprints.um.edu.my/
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Rivai, Ahmad Rahim, Nasrudin Abd Elias, Mohamad Fathi Mohamad Jamaludin, Jafferi Analysis of Photovoltaic String Failure and Health Monitoring with Module Fault Identification
description	In this paper, photovoltaic (PV) string failure analysis and health monitoring of PV modules based on a low-cost self-powered wireless sensor network (WSN) are presented. Simple and effective fault detection and diagnosis method based on the real-time operating voltage of PV modules is proposed. The proposed method is verified using the developed health monitoring system which is installed in a grid-connected PV system. Each of the PV modules is monitored via WSN to detect any individual faulty module. The analysis of PV string failure includes several electrical fault scenarios and their impact on the PV string characteristics. The results show that a degraded or faulty module exhibits low operating voltage as compared to the normal module. The developed health monitoring system also includes a graphical user interface (GUI) program which graphically displays the real-time operating voltage of each module with colors and thus helping users to identify the faulty modules easily. The faulty modules identification approach is further validated using the PV module electroluminescence (EL) imaging system. © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
format	Article
author	Rivai, Ahmad Rahim, Nasrudin Abd Elias, Mohamad Fathi Mohamad Jamaludin, Jafferi
author_facet	Rivai, Ahmad Rahim, Nasrudin Abd Elias, Mohamad Fathi Mohamad Jamaludin, Jafferi
author_sort	Rivai, Ahmad
title	Analysis of Photovoltaic String Failure and Health Monitoring with Module Fault Identification
title_short	Analysis of Photovoltaic String Failure and Health Monitoring with Module Fault Identification
title_full	Analysis of Photovoltaic String Failure and Health Monitoring with Module Fault Identification
title_fullStr	Analysis of Photovoltaic String Failure and Health Monitoring with Module Fault Identification
title_full_unstemmed	Analysis of Photovoltaic String Failure and Health Monitoring with Module Fault Identification
title_sort	analysis of photovoltaic string failure and health monitoring with module fault identification
publisher	MDPI
publishDate	2019
url	http://eprints.um.edu.my/23646/ https://doi.org/10.3390/en13010100
_version_	1657488240907649024
score	13.211869

Analysis of Photovoltaic String Failure and Health Monitoring with Module Fault Identification

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