Faults Detection in a Photovoltaic Generator by Using Matlab Simulink and the chipKIT Max32 Board
This paper presents a laboratory with equipment and an algorithm for teaching graduate students the monitoring and the diagnosis of PV arrays. The contribution is the presentation of an algorithm to detect and localize the fault, in photovoltaic generator when a limited number of voltage sensors are...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | International Journal of Photoenergy |
| Online Access: | http://dx.doi.org/10.1155/2014/350345 |
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| _version_ | 1832563760175251456 |
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| author | Riadh Khenfer Mohamed Mostefai Seddik Benahdouga Mounir Maddad |
| author_facet | Riadh Khenfer Mohamed Mostefai Seddik Benahdouga Mounir Maddad |
| author_sort | Riadh Khenfer |
| collection | DOAJ |
| description | This paper presents a laboratory with equipment and an algorithm for teaching graduate students the monitoring and the diagnosis of PV arrays. The contribution is the presentation of an algorithm to detect and localize the fault, in photovoltaic generator when a limited number of voltage sensors are used. An I-V curve tracer using a capacitive load is exploited to measure the I-V characteristics of PV arrays. Such measurement allows characterization of PV arrays on-site, under real operating conditions, and provides also information for the detection of potential array anomalies. This I-V curve tracer is based on a microcontroller board family called chipKIT Max32 which is a popular platform for physical computing. A user program can be developed visually on a PC side via the graphical user interface (GUI) in Matlab Simulink, where the chipKIT Max32 of Digilent which is a low-cost board is designed for use with the Arduinompid software. The obtained results from the partial shade default showed the effectiveness of the proposed diagnosis method and the good functioning of this board with the Matlab/Simulink environment. |
| format | Article |
| id | doaj-art-30f95d0b019e4263bf718fe0ec0ca4c5 |
| institution | Kabale University |
| issn | 1110-662X 1687-529X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Photoenergy |
| spelling | doaj-art-30f95d0b019e4263bf718fe0ec0ca4c52025-02-03T01:12:30ZengWileyInternational Journal of Photoenergy1110-662X1687-529X2014-01-01201410.1155/2014/350345350345Faults Detection in a Photovoltaic Generator by Using Matlab Simulink and the chipKIT Max32 BoardRiadh Khenfer0Mohamed Mostefai1Seddik Benahdouga2Mounir Maddad3Ferhat Abbas University and Laboratory LAS of Sétif 1, 19000 Sétif, AlgeriaFerhat Abbas University and Laboratory LAS of Sétif 1, 19000 Sétif, AlgeriaElectromechanical Engineering Department, El Bachir El Ibrahimi University of BBA, 34000 Bordj Bou Arréridj, AlgeriaElectromechanical Engineering Department, El Bachir El Ibrahimi University of BBA, 34000 Bordj Bou Arréridj, AlgeriaThis paper presents a laboratory with equipment and an algorithm for teaching graduate students the monitoring and the diagnosis of PV arrays. The contribution is the presentation of an algorithm to detect and localize the fault, in photovoltaic generator when a limited number of voltage sensors are used. An I-V curve tracer using a capacitive load is exploited to measure the I-V characteristics of PV arrays. Such measurement allows characterization of PV arrays on-site, under real operating conditions, and provides also information for the detection of potential array anomalies. This I-V curve tracer is based on a microcontroller board family called chipKIT Max32 which is a popular platform for physical computing. A user program can be developed visually on a PC side via the graphical user interface (GUI) in Matlab Simulink, where the chipKIT Max32 of Digilent which is a low-cost board is designed for use with the Arduinompid software. The obtained results from the partial shade default showed the effectiveness of the proposed diagnosis method and the good functioning of this board with the Matlab/Simulink environment.http://dx.doi.org/10.1155/2014/350345 |
| spellingShingle | Riadh Khenfer Mohamed Mostefai Seddik Benahdouga Mounir Maddad Faults Detection in a Photovoltaic Generator by Using Matlab Simulink and the chipKIT Max32 Board International Journal of Photoenergy |
| title | Faults Detection in a Photovoltaic Generator by Using Matlab Simulink and the chipKIT Max32 Board |
| title_full | Faults Detection in a Photovoltaic Generator by Using Matlab Simulink and the chipKIT Max32 Board |
| title_fullStr | Faults Detection in a Photovoltaic Generator by Using Matlab Simulink and the chipKIT Max32 Board |
| title_full_unstemmed | Faults Detection in a Photovoltaic Generator by Using Matlab Simulink and the chipKIT Max32 Board |
| title_short | Faults Detection in a Photovoltaic Generator by Using Matlab Simulink and the chipKIT Max32 Board |
| title_sort | faults detection in a photovoltaic generator by using matlab simulink and the chipkit max32 board |
| url | http://dx.doi.org/10.1155/2014/350345 |
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