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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-12-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/13/1/100 |
| _version_ | 1811299986506252288 |
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| author | Ahmad Rivai Nasrudin Abd Rahim Mohamad Fathi Mohamad Elias Jafferi Jamaludin |
| author_facet | Ahmad Rivai Nasrudin Abd Rahim Mohamad Fathi Mohamad Elias Jafferi Jamaludin |
| author_sort | Ahmad Rivai |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-13T06:44:36Z |
| format | Article |
| id | doaj.art-42f288fa24894b639dd8d8509fa11da5 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-13T06:44:36Z |
| publishDate | 2019-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-42f288fa24894b639dd8d8509fa11da52022-12-22T02:57:38ZengMDPI AGEnergies1996-10732019-12-0113110010.3390/en13010100en13010100Analysis of Photovoltaic String Failure and Health Monitoring with Module Fault IdentificationAhmad Rivai0Nasrudin Abd Rahim1Mohamad Fathi Mohamad Elias2Jafferi Jamaludin3Higher Institution Centre of Excellence (HICoE), UM Power Energy Dedicated Advanced Centre (UMPEDAC) Level 4, Wisma R&D, University of Malaya, Kuala Lumpur 59990, MalaysiaHigher Institution Centre of Excellence (HICoE), UM Power Energy Dedicated Advanced Centre (UMPEDAC) Level 4, Wisma R&D, University of Malaya, Kuala Lumpur 59990, MalaysiaHigher Institution Centre of Excellence (HICoE), UM Power Energy Dedicated Advanced Centre (UMPEDAC) Level 4, Wisma R&D, University of Malaya, Kuala Lumpur 59990, MalaysiaHigher Institution Centre of Excellence (HICoE), UM Power Energy Dedicated Advanced Centre (UMPEDAC) Level 4, Wisma R&D, University of Malaya, Kuala Lumpur 59990, MalaysiaIn 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.https://www.mdpi.com/1996-1073/13/1/100photovoltaic module fault detectiongraphical user interfacephotovoltaic stringhealth monitoringinternet of thingsself-powered wireless sensor network |
| spellingShingle | Ahmad Rivai Nasrudin Abd Rahim Mohamad Fathi Mohamad Elias Jafferi Jamaludin Analysis of Photovoltaic String Failure and Health Monitoring with Module Fault Identification Energies photovoltaic module fault detection graphical user interface photovoltaic string health monitoring internet of things self-powered wireless sensor network |
| title | 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_short | 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 |
| topic | photovoltaic module fault detection graphical user interface photovoltaic string health monitoring internet of things self-powered wireless sensor network |
| url | https://www.mdpi.com/1996-1073/13/1/100 |
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