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Impact Analysis of Potential Induced Degradation on Crystalline Silicon Solar Cell Performance by Correlating Practical Diagnosis with MATLAB Simulation

Extensive research on fault diagnosis is essential to detect various faults that occur to different photovoltaic (PV) panels to keep PV systems operating at peak performance. Here, we present an impact analysis of potential induced degradation (PID) on the current–voltage (I-V) characteristics of cr...

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Autores principales: Hasan, Abdulwahab A. Q., Alkahtani, Ammar Ahmed, Islam, Mohammad Aminul, Alsariera, Yazan A., Sathiswary, Santhiran, Kassim, Nabilah M., Hossain, Mohammad Ismail, Ishikawa, Yasuaki, Amin, Nowshad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9699168/
https://www.ncbi.nlm.nih.gov/pubmed/36431542
http://dx.doi.org/10.3390/ma15228056
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author Hasan, Abdulwahab A. Q.
Alkahtani, Ammar Ahmed
Islam, Mohammad Aminul
Alsariera, Yazan A.
Sathiswary, Santhiran
Kassim, Nabilah M.
Hossain, Mohammad Ismail
Ishikawa, Yasuaki
Amin, Nowshad
author_facet Hasan, Abdulwahab A. Q.
Alkahtani, Ammar Ahmed
Islam, Mohammad Aminul
Alsariera, Yazan A.
Sathiswary, Santhiran
Kassim, Nabilah M.
Hossain, Mohammad Ismail
Ishikawa, Yasuaki
Amin, Nowshad
author_sort Hasan, Abdulwahab A. Q.
collection PubMed
description Extensive research on fault diagnosis is essential to detect various faults that occur to different photovoltaic (PV) panels to keep PV systems operating at peak performance. Here, we present an impact analysis of potential induced degradation (PID) on the current–voltage (I-V) characteristics of crystalline silicon (c-Si) solar cells. The impact of parasitic resistances on solar cell performance is highlighted and linked to fault and degradation. Furthermore, a Simulink model for a single solar cell is proposed and used to estimate the I-V characteristics of a PID-affected PV cell based on experimental results attributes. The measured data show that the fill factor (FF) drops by approximately 13.7% from its initial value due to a decrease in shunt resistance (R(sh)). Similarly, the simulation results find that the fill factor degraded by approximately 12% from its initial value. The slight increase in measured data could be due to series resistance effects which were assumed to be zero in the simulated data. This study links simulation and experimental work to confirm the I-V curve behavior of PID-affected PV cells, which could help to improve fault diagnosis methods.
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spelling pubmed-96991682022-11-26 Impact Analysis of Potential Induced Degradation on Crystalline Silicon Solar Cell Performance by Correlating Practical Diagnosis with MATLAB Simulation Hasan, Abdulwahab A. Q. Alkahtani, Ammar Ahmed Islam, Mohammad Aminul Alsariera, Yazan A. Sathiswary, Santhiran Kassim, Nabilah M. Hossain, Mohammad Ismail Ishikawa, Yasuaki Amin, Nowshad Materials (Basel) Article Extensive research on fault diagnosis is essential to detect various faults that occur to different photovoltaic (PV) panels to keep PV systems operating at peak performance. Here, we present an impact analysis of potential induced degradation (PID) on the current–voltage (I-V) characteristics of crystalline silicon (c-Si) solar cells. The impact of parasitic resistances on solar cell performance is highlighted and linked to fault and degradation. Furthermore, a Simulink model for a single solar cell is proposed and used to estimate the I-V characteristics of a PID-affected PV cell based on experimental results attributes. The measured data show that the fill factor (FF) drops by approximately 13.7% from its initial value due to a decrease in shunt resistance (R(sh)). Similarly, the simulation results find that the fill factor degraded by approximately 12% from its initial value. The slight increase in measured data could be due to series resistance effects which were assumed to be zero in the simulated data. This study links simulation and experimental work to confirm the I-V curve behavior of PID-affected PV cells, which could help to improve fault diagnosis methods. MDPI 2022-11-15 /pmc/articles/PMC9699168/ /pubmed/36431542 http://dx.doi.org/10.3390/ma15228056 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hasan, Abdulwahab A. Q.
Alkahtani, Ammar Ahmed
Islam, Mohammad Aminul
Alsariera, Yazan A.
Sathiswary, Santhiran
Kassim, Nabilah M.
Hossain, Mohammad Ismail
Ishikawa, Yasuaki
Amin, Nowshad
Impact Analysis of Potential Induced Degradation on Crystalline Silicon Solar Cell Performance by Correlating Practical Diagnosis with MATLAB Simulation
title Impact Analysis of Potential Induced Degradation on Crystalline Silicon Solar Cell Performance by Correlating Practical Diagnosis with MATLAB Simulation
title_full Impact Analysis of Potential Induced Degradation on Crystalline Silicon Solar Cell Performance by Correlating Practical Diagnosis with MATLAB Simulation
title_fullStr Impact Analysis of Potential Induced Degradation on Crystalline Silicon Solar Cell Performance by Correlating Practical Diagnosis with MATLAB Simulation
title_full_unstemmed Impact Analysis of Potential Induced Degradation on Crystalline Silicon Solar Cell Performance by Correlating Practical Diagnosis with MATLAB Simulation
title_short Impact Analysis of Potential Induced Degradation on Crystalline Silicon Solar Cell Performance by Correlating Practical Diagnosis with MATLAB Simulation
title_sort impact analysis of potential induced degradation on crystalline silicon solar cell performance by correlating practical diagnosis with matlab simulation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9699168/
https://www.ncbi.nlm.nih.gov/pubmed/36431542
http://dx.doi.org/10.3390/ma15228056
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