Parameter extraction of photovoltaic cell using differential evolution method
This paper proposes a new parameter extraction method of photovoltaic cell, based on the differential evolution (DE) technique. The proposed method requires very few control parameters and converges rapidly to a solution. Furthermore, it can fit the I-V curve very accurately irrespective of the valu...
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2011
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my.utm.295212017-02-04T07:41:09Z http://eprints.utm.my/id/eprint/29521/ Parameter extraction of photovoltaic cell using differential evolution method Ishaque, K. Salam, Zainal Taheri, H. Shamsudin, Mohamad Amir TK Electrical engineering. Electronics Nuclear engineering This paper proposes a new parameter extraction method of photovoltaic cell, based on the differential evolution (DE) technique. The proposed method requires very few control parameters and converges rapidly to a solution. Furthermore, it can fit the I-V curve very accurately irrespective of the values of the initial parameters guesses. The performance of DE is evaluated against the well known genetic algorithm (GA) using a synthetic and experimental I-V data set. It is found that the DE method fits the I-V curve better than GA, has a lower fitness function value and faster execution time. IEEE 2011 Book Section PeerReviewed Ishaque, K. and Salam, Zainal and Taheri, H. and Shamsudin, Mohamad Amir (2011) Parameter extraction of photovoltaic cell using differential evolution method. In: 2011 IEEE Applied Power Electronics Colloquium (IAPEC). IEEE, New Jersey, 010-015. ISBN 978-145770008-8 http://dx.doi.org/10.1109/IAPEC.2011.5779867 10.1109/IAPEC.2011.5779867 |
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TK Electrical engineering. Electronics Nuclear engineering Ishaque, K. Salam, Zainal Taheri, H. Shamsudin, Mohamad Amir Parameter extraction of photovoltaic cell using differential evolution method |
description |
This paper proposes a new parameter extraction method of photovoltaic cell, based on the differential evolution (DE) technique. The proposed method requires very few control parameters and converges rapidly to a solution. Furthermore, it can fit the I-V curve very accurately irrespective of the values of the initial parameters guesses. The performance of DE is evaluated against the well known genetic algorithm (GA) using a synthetic and experimental I-V data set. It is found that the DE method fits the I-V curve better than GA, has a lower fitness function value and faster execution time. |
format |
Book Section |
author |
Ishaque, K. Salam, Zainal Taheri, H. Shamsudin, Mohamad Amir |
author_facet |
Ishaque, K. Salam, Zainal Taheri, H. Shamsudin, Mohamad Amir |
author_sort |
Ishaque, K. |
title |
Parameter extraction of photovoltaic cell using differential evolution method |
title_short |
Parameter extraction of photovoltaic cell using differential evolution method |
title_full |
Parameter extraction of photovoltaic cell using differential evolution method |
title_fullStr |
Parameter extraction of photovoltaic cell using differential evolution method |
title_full_unstemmed |
Parameter extraction of photovoltaic cell using differential evolution method |
title_sort |
parameter extraction of photovoltaic cell using differential evolution method |
publisher |
IEEE |
publishDate |
2011 |
url |
http://eprints.utm.my/id/eprint/29521/ http://dx.doi.org/10.1109/IAPEC.2011.5779867 |
_version_ |
1643648318849417216 |
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13.251813 |