Fault-tolerant power extraction strategy for photovoltaic energy systems
Photovoltaic (PV) arrays are subject to various types of environmental disturbances and component-related faults that affect their normal operation and result in a considerable energy loss. The nonlinear current-voltage (I-V) characteristic curve of the PV array prevents the detection and isolation...
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| Format: | Article |
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Elsevier
2018
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| _version_ | 1825721844719681536 |
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| author | Boutasseta, Nadir Ramdani, Messaoud Mekhilef, Saad |
| author_facet | Boutasseta, Nadir Ramdani, Messaoud Mekhilef, Saad |
| author_sort | Boutasseta, Nadir |
| collection | UM |
| description | Photovoltaic (PV) arrays are subject to various types of environmental disturbances and component-related faults that affect their normal operation and result in a considerable energy loss. The nonlinear current-voltage (I-V) characteristic curve of the PV array prevents the detection and isolation of the faults and also makes the tracking of the maximum power operating point (MPP) more difficult. Fault detection and identification (FDI) techniques methods have been proposed to detect the presence of faults and isolate them. Many maximum power point tracking (MPPT) methods have been proposed to find the best operating point in the presence of disturbed environmental conditions. However, existing FDI methods do not consider the tracking of the MPP in faulted operating conditions, and available MPP tracking methods do not consider the occurrence of faults in the PV system. The objective of this study is to propose a fault-tolerant control (FTC) strategy to detect the presence of abnormal operating conditions and reconfigure the MPPT procedure to search for the new suboptimal operating point. The FDI method is based on monitoring the PV panel generated power for the presence of abrupt changes; the MPPT reconfiguration is based on a combination between Incremental Conductance (IncCond) Algorithm and an Improved Current-based Particle Swarm Optimization (ICPSO) tracking technique. Simulation and experimental results show an excellent performance of the proposed FTC method in the presence of various types of faults. |
| first_indexed | 2024-03-06T05:56:33Z |
| format | Article |
| id | um.eprints-22298 |
| institution | Universiti Malaya |
| last_indexed | 2024-03-06T05:56:33Z |
| publishDate | 2018 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | um.eprints-222982019-09-11T08:50:08Z http://eprints.um.edu.my/22298/ Fault-tolerant power extraction strategy for photovoltaic energy systems Boutasseta, Nadir Ramdani, Messaoud Mekhilef, Saad TK Electrical engineering. Electronics Nuclear engineering Photovoltaic (PV) arrays are subject to various types of environmental disturbances and component-related faults that affect their normal operation and result in a considerable energy loss. The nonlinear current-voltage (I-V) characteristic curve of the PV array prevents the detection and isolation of the faults and also makes the tracking of the maximum power operating point (MPP) more difficult. Fault detection and identification (FDI) techniques methods have been proposed to detect the presence of faults and isolate them. Many maximum power point tracking (MPPT) methods have been proposed to find the best operating point in the presence of disturbed environmental conditions. However, existing FDI methods do not consider the tracking of the MPP in faulted operating conditions, and available MPP tracking methods do not consider the occurrence of faults in the PV system. The objective of this study is to propose a fault-tolerant control (FTC) strategy to detect the presence of abnormal operating conditions and reconfigure the MPPT procedure to search for the new suboptimal operating point. The FDI method is based on monitoring the PV panel generated power for the presence of abrupt changes; the MPPT reconfiguration is based on a combination between Incremental Conductance (IncCond) Algorithm and an Improved Current-based Particle Swarm Optimization (ICPSO) tracking technique. Simulation and experimental results show an excellent performance of the proposed FTC method in the presence of various types of faults. Elsevier 2018 Article PeerReviewed Boutasseta, Nadir and Ramdani, Messaoud and Mekhilef, Saad (2018) Fault-tolerant power extraction strategy for photovoltaic energy systems. Solar Energy, 169. pp. 594-606. ISSN 0038-092X, DOI https://doi.org/10.1016/j.solener.2018.05.031 <https://doi.org/10.1016/j.solener.2018.05.031>. https://doi.org/10.1016/j.solener.2018.05.031 doi:10.1016/j.solener.2018.05.031 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Boutasseta, Nadir Ramdani, Messaoud Mekhilef, Saad Fault-tolerant power extraction strategy for photovoltaic energy systems |
| title | Fault-tolerant power extraction strategy for photovoltaic energy systems |
| title_full | Fault-tolerant power extraction strategy for photovoltaic energy systems |
| title_fullStr | Fault-tolerant power extraction strategy for photovoltaic energy systems |
| title_full_unstemmed | Fault-tolerant power extraction strategy for photovoltaic energy systems |
| title_short | Fault-tolerant power extraction strategy for photovoltaic energy systems |
| title_sort | fault tolerant power extraction strategy for photovoltaic energy systems |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| work_keys_str_mv | AT boutassetanadir faulttolerantpowerextractionstrategyforphotovoltaicenergysystems AT ramdanimessaoud faulttolerantpowerextractionstrategyforphotovoltaicenergysystems AT mekhilefsaad faulttolerantpowerextractionstrategyforphotovoltaicenergysystems |