Staff View: Module-Level Performance Evaluation for a Smart PV System Based on Field Conditions

Module-Level Performance Evaluation for a Smart PV System Based on Field Conditions

This study presents an approach with a simple structure, low complexity and low costs to evaluate the real-time status and localize the faults of a smart PV system at module level based on field conditions. The performance evaluation approach of a PV system is developed through the defined performan...

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Main Authors:	Feng L., Amin N., Zhang J., Ding K., Hamelmann F.U.
Other Authors:	57161726400
Format:	Article
Published:	MDPI 2024
Subjects:	data matrix faults identification performance evaluation performance indicators solar energy system thermal model
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id	my.uniten.dspace-34359
record_format	dspace
spelling	my.uniten.dspace-343592024-10-14T11:19:16Z Module-Level Performance Evaluation for a Smart PV System Based on Field Conditions Feng L. Amin N. Zhang J. Ding K. Hamelmann F.U. 57161726400 7102424614 55994334400 36642197700 6603541611 data matrix faults identification performance evaluation performance indicators solar energy system thermal model This study presents an approach with a simple structure, low complexity and low costs to evaluate the real-time status and localize the faults of a smart PV system at module level based on field conditions. The performance evaluation approach of a PV system is developed through the defined performance indicators, a complex data matrix to track module locations and a thermal model to determine the module temperature. The generalization potential of the proposed approach has been demonstrated through the successful experiment validation. The results show that the performance indicators are greatly corrected by the estimated module temperature with great linear agreement in R2 of 0.922 compared to actual measured temperature under same conditions. Due to the effective performance indicators capturing more performance differences caused by faults of cracks in 0.22 of PV_?V, partial shading in 0.47 of PV_?V, broken sensors in 0.17 of PI_?I and 1 of PV_?V separately, the proposed approach is very effective in evaluating the performance of PV modules at module level. Meanwhile, the faulty modules are diagnosed and located through these findings and the data matrix in the smart PV system. Additionally, the sensitivity of the proposed approach to fault in cracks is much higher than that of monitoring only the power. � 2023 by the authors. Final 2024-10-14T03:19:16Z 2024-10-14T03:19:16Z 2023 Article 10.3390/app13031448 2-s2.0-85147916075 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147916075&doi=10.3390%2fapp13031448&partnerID=40&md5=d4873b91bf4f091f537337c18d46a8de https://irepository.uniten.edu.my/handle/123456789/34359 13 3 1448 All Open Access Gold Open Access MDPI Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
topic	data matrix faults identification performance evaluation performance indicators solar energy system thermal model
spellingShingle	data matrix faults identification performance evaluation performance indicators solar energy system thermal model Feng L. Amin N. Zhang J. Ding K. Hamelmann F.U. Module-Level Performance Evaluation for a Smart PV System Based on Field Conditions
description	This study presents an approach with a simple structure, low complexity and low costs to evaluate the real-time status and localize the faults of a smart PV system at module level based on field conditions. The performance evaluation approach of a PV system is developed through the defined performance indicators, a complex data matrix to track module locations and a thermal model to determine the module temperature. The generalization potential of the proposed approach has been demonstrated through the successful experiment validation. The results show that the performance indicators are greatly corrected by the estimated module temperature with great linear agreement in R2 of 0.922 compared to actual measured temperature under same conditions. Due to the effective performance indicators capturing more performance differences caused by faults of cracks in 0.22 of PV_?V, partial shading in 0.47 of PV_?V, broken sensors in 0.17 of PI_?I and 1 of PV_?V separately, the proposed approach is very effective in evaluating the performance of PV modules at module level. Meanwhile, the faulty modules are diagnosed and located through these findings and the data matrix in the smart PV system. Additionally, the sensitivity of the proposed approach to fault in cracks is much higher than that of monitoring only the power. � 2023 by the authors.
author2	57161726400
author_facet	57161726400 Feng L. Amin N. Zhang J. Ding K. Hamelmann F.U.
format	Article
author	Feng L. Amin N. Zhang J. Ding K. Hamelmann F.U.
author_sort	Feng L.
title	Module-Level Performance Evaluation for a Smart PV System Based on Field Conditions
title_short	Module-Level Performance Evaluation for a Smart PV System Based on Field Conditions
title_full	Module-Level Performance Evaluation for a Smart PV System Based on Field Conditions
title_fullStr	Module-Level Performance Evaluation for a Smart PV System Based on Field Conditions
title_full_unstemmed	Module-Level Performance Evaluation for a Smart PV System Based on Field Conditions
title_sort	module-level performance evaluation for a smart pv system based on field conditions
publisher	MDPI
publishDate	2024
_version_	1814061052402335744
score	13.222552

Module-Level Performance Evaluation for a Smart PV System Based on Field Conditions

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