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An Accurate and fast computational algorithm for the two-diode model of PV module based on a hybrid method

This paper proposes an improved hybrid method to compute the parameters of the two-diode model of photovoltaic (PV) module. Unlike previous methods, it attains the speed of the analytical approach by utilizing only datasheet information. Furthermore, its accuracy is not compromised as it does not re...

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Main Authors: Chin, V. J., Salam, Z., Ishaque, K.
Format: Article
Published: Institute of Electrical and Electronics Engineers Inc. 2017
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/76250/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029689436&doi=10.1109%2fTIE.2017.2682023&partnerID=40&md5=5daf50cdf89af661274c234099d573c5
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spelling my.utm.762502018-06-26T07:56:15Z http://eprints.utm.my/id/eprint/76250/ An Accurate and fast computational algorithm for the two-diode model of PV module based on a hybrid method Chin, V. J. Salam, Z. Ishaque, K. TK Electrical engineering. Electronics Nuclear engineering This paper proposes an improved hybrid method to compute the parameters of the two-diode model of photovoltaic (PV) module. Unlike previous methods, it attains the speed of the analytical approach by utilizing only datasheet information. Furthermore, its accuracy is not compromised as it does not require simplifications in its computation. Four parameters are determined analytically, while the remaining three are optimized by using an evolutionary algorithm, i.e., the differential evolution. The speed is improved because the parameters are optimized only once, i.e., at standard test condition, while the values at other conditions are computed analytically. Furthermore, a procedure to guide the initial conditions of the Newton-Raphson iteration is introduced. For validation, the algorithm is compared to other established computational methods for mono-, polycrystalline, and thin film modules. When evaluated against the experimental data, the mean absolute error is improved by one order of magnitude, while the speed is increased by approximately threefold. The standard deviation of the decision parameters over 100 independent runs is less than 0.1 - which suggests that the optimization process is very consistent. Due to its speed and accuracy, the method is envisaged to be useful as a computational engine in PV simulator. Institute of Electrical and Electronics Engineers Inc. 2017 Article PeerReviewed Chin, V. J. and Salam, Z. and Ishaque, K. (2017) An Accurate and fast computational algorithm for the two-diode model of PV module based on a hybrid method. IEEE Transactions on Industrial Electronics, 64 (8). pp. 6212-6222. ISSN 0278-0046 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029689436&doi=10.1109%2fTIE.2017.2682023&partnerID=40&md5=5daf50cdf89af661274c234099d573c5
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Chin, V. J.
Salam, Z.
Ishaque, K.
An Accurate and fast computational algorithm for the two-diode model of PV module based on a hybrid method
description This paper proposes an improved hybrid method to compute the parameters of the two-diode model of photovoltaic (PV) module. Unlike previous methods, it attains the speed of the analytical approach by utilizing only datasheet information. Furthermore, its accuracy is not compromised as it does not require simplifications in its computation. Four parameters are determined analytically, while the remaining three are optimized by using an evolutionary algorithm, i.e., the differential evolution. The speed is improved because the parameters are optimized only once, i.e., at standard test condition, while the values at other conditions are computed analytically. Furthermore, a procedure to guide the initial conditions of the Newton-Raphson iteration is introduced. For validation, the algorithm is compared to other established computational methods for mono-, polycrystalline, and thin film modules. When evaluated against the experimental data, the mean absolute error is improved by one order of magnitude, while the speed is increased by approximately threefold. The standard deviation of the decision parameters over 100 independent runs is less than 0.1 - which suggests that the optimization process is very consistent. Due to its speed and accuracy, the method is envisaged to be useful as a computational engine in PV simulator.
format Article
author Chin, V. J.
Salam, Z.
Ishaque, K.
author_facet Chin, V. J.
Salam, Z.
Ishaque, K.
author_sort Chin, V. J.
title An Accurate and fast computational algorithm for the two-diode model of PV module based on a hybrid method
title_short An Accurate and fast computational algorithm for the two-diode model of PV module based on a hybrid method
title_full An Accurate and fast computational algorithm for the two-diode model of PV module based on a hybrid method
title_fullStr An Accurate and fast computational algorithm for the two-diode model of PV module based on a hybrid method
title_full_unstemmed An Accurate and fast computational algorithm for the two-diode model of PV module based on a hybrid method
title_sort accurate and fast computational algorithm for the two-diode model of pv module based on a hybrid method
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2017
url http://eprints.utm.my/id/eprint/76250/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029689436&doi=10.1109%2fTIE.2017.2682023&partnerID=40&md5=5daf50cdf89af661274c234099d573c5
_version_ 1643657259261100032
score 13.211869

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