Fast Partial Shading Detection on PV Modules for Precise Power Loss Ratio Estimation Using Digital Image Processing
Maintaining the maximum performance of solar panels poses the foremost challenge for solar photovoltaic power plants in this era. One of the common PV faults which decreases PV power output is a hot spot which is caused by a prolonged local partial shading from objects, such as dust piles or animal...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2024-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2024/9385602 |
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| author | Eko Adhi Setiawan Muhammad Fathurrahman Radityo Fajar Pamungkas Samsul Ma’arif |
| author_facet | Eko Adhi Setiawan Muhammad Fathurrahman Radityo Fajar Pamungkas Samsul Ma’arif |
| author_sort | Eko Adhi Setiawan |
| collection | DOAJ |
| description | Maintaining the maximum performance of solar panels poses the foremost challenge for solar photovoltaic power plants in this era. One of the common PV faults which decreases PV power output is a hot spot which is caused by a prolonged local partial shading from objects, such as dust piles or animal waste. To prevent it, an enormous effort for PV inspection is needed especially for large solar power plants. Hence, automatic partial shading detection is critical in preventing PV hot spots to assist maintenance activities which are associated with a drop in energy output. This research developed fast partial shading detection application on PV modules using digital image processing to detect the hot spot and PV modules areas and afterwards calculate the PV systems power loss ratio. The proposed method demonstrated a hot spot detection rate of 94.74% and a module detection rate of 100%. The power loss ratio calculation is compared and validated using IV curve measurement and has 91.26% similarity value which is a feasible application for the real-world system. |
| format | Article |
| id | doaj-art-d1b1992c68104ac49b3a3a71e97d5cad |
| institution | Kabale University |
| issn | 2090-0155 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-d1b1992c68104ac49b3a3a71e97d5cad2025-02-03T06:47:13ZengWileyJournal of Electrical and Computer Engineering2090-01552024-01-01202410.1155/2024/9385602Fast Partial Shading Detection on PV Modules for Precise Power Loss Ratio Estimation Using Digital Image ProcessingEko Adhi Setiawan0Muhammad Fathurrahman1Radityo Fajar Pamungkas2Samsul Ma’arif3Electrical EngineeringElectrical EngineeringElectronics EngineeringTropical Renewable Energy CenterMaintaining the maximum performance of solar panels poses the foremost challenge for solar photovoltaic power plants in this era. One of the common PV faults which decreases PV power output is a hot spot which is caused by a prolonged local partial shading from objects, such as dust piles or animal waste. To prevent it, an enormous effort for PV inspection is needed especially for large solar power plants. Hence, automatic partial shading detection is critical in preventing PV hot spots to assist maintenance activities which are associated with a drop in energy output. This research developed fast partial shading detection application on PV modules using digital image processing to detect the hot spot and PV modules areas and afterwards calculate the PV systems power loss ratio. The proposed method demonstrated a hot spot detection rate of 94.74% and a module detection rate of 100%. The power loss ratio calculation is compared and validated using IV curve measurement and has 91.26% similarity value which is a feasible application for the real-world system.http://dx.doi.org/10.1155/2024/9385602 |
| spellingShingle | Eko Adhi Setiawan Muhammad Fathurrahman Radityo Fajar Pamungkas Samsul Ma’arif Fast Partial Shading Detection on PV Modules for Precise Power Loss Ratio Estimation Using Digital Image Processing Journal of Electrical and Computer Engineering |
| title | Fast Partial Shading Detection on PV Modules for Precise Power Loss Ratio Estimation Using Digital Image Processing |
| title_full | Fast Partial Shading Detection on PV Modules for Precise Power Loss Ratio Estimation Using Digital Image Processing |
| title_fullStr | Fast Partial Shading Detection on PV Modules for Precise Power Loss Ratio Estimation Using Digital Image Processing |
| title_full_unstemmed | Fast Partial Shading Detection on PV Modules for Precise Power Loss Ratio Estimation Using Digital Image Processing |
| title_short | Fast Partial Shading Detection on PV Modules for Precise Power Loss Ratio Estimation Using Digital Image Processing |
| title_sort | fast partial shading detection on pv modules for precise power loss ratio estimation using digital image processing |
| url | http://dx.doi.org/10.1155/2024/9385602 |
| work_keys_str_mv | AT ekoadhisetiawan fastpartialshadingdetectiononpvmodulesforprecisepowerlossratioestimationusingdigitalimageprocessing AT muhammadfathurrahman fastpartialshadingdetectiononpvmodulesforprecisepowerlossratioestimationusingdigitalimageprocessing AT radityofajarpamungkas fastpartialshadingdetectiononpvmodulesforprecisepowerlossratioestimationusingdigitalimageprocessing AT samsulmaarif fastpartialshadingdetectiononpvmodulesforprecisepowerlossratioestimationusingdigitalimageprocessing |