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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| Format: | Article |
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MDPI
2019
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| _version_ | 1796961862713081856 |
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| 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 |
| collection | UM |
| 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/). |
| first_indexed | 2024-03-06T06:00:27Z |
| format | Article |
| id | um.eprints-23646 |
| institution | Universiti Malaya |
| last_indexed | 2024-03-06T06:00:27Z |
| publishDate | 2019 |
| publisher | MDPI |
| record_format | dspace |
| spelling | 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, DOI https://doi.org/10.3390/en13010100 <https://doi.org/10.3390/en13010100>. https://doi.org/10.3390/en13010100 doi:10.3390/en13010100 |
| 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 |
| 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 | TK Electrical engineering. Electronics Nuclear engineering |
| work_keys_str_mv | AT rivaiahmad analysisofphotovoltaicstringfailureandhealthmonitoringwithmodulefaultidentification AT rahimnasrudinabd analysisofphotovoltaicstringfailureandhealthmonitoringwithmodulefaultidentification AT eliasmohamadfathimohamad analysisofphotovoltaicstringfailureandhealthmonitoringwithmodulefaultidentification AT jamaludinjafferi analysisofphotovoltaicstringfailureandhealthmonitoringwithmodulefaultidentification |