An improved hybrid computational method for the two-diode model in photovoltaic simulation applications

For a successful realization of the solar photovoltaic (PV) system, the availability of an accurate, fast and reliable computer simulation tool is indispensable. The most crucial component that directly affects the accuracy of the simulator is the model of the PV cell (or module) itself. As an impro...

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Main Author:	Chin, Vun Jack
Format:	Thesis
Language:	English
Published:	2018
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/80932/1/ChinVunJackPFKE2018.pdf
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id	my-utm-ep.80932
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spelling	my-utm-ep.809322019-07-24T00:10:54Z An improved hybrid computational method for the two-diode model in photovoltaic simulation applications 2018-05 Chin, Vun Jack TK Electrical engineering. Electronics Nuclear engineering For a successful realization of the solar photovoltaic (PV) system, the availability of an accurate, fast and reliable computer simulation tool is indispensable. The most crucial component that directly affects the accuracy of the simulator is the model of the PV cell (or module) itself. As an improvement over its single diode counterpart, the two-diode model exhibits superior accuracy for wide variations of irradiance and temperature. However, due to the limited number of information that are available on the manufacturer datasheet, the determination of all seven parameters of the two-diode model is very challenging. This thesis proposes a new hybrid method to improve the computation of the two-diode model. Unlike other existing hybrid methods, the proposed method retains the computation speed of the analytical approach and utilizes only standard datasheet information. Furthermore, it does not employ any simplification in the computation of the model parameters. Four parameters are determined analytically, while the remaining three are optimized by using differential evolution. The speed is improved significantly because the parameters are optimized only once, at standard test condition, while the values at other conditions are computed using the analytical equations. Additionally, a procedure to guide the initial conditions of the Newton-Raphson iteration is introduced. For validation, the algorithm is implemented in MATLAB software and its performance is compared with other established computational methods for mono-crystalline, poly-crystalline and thin film modules. When evaluated against the experimental data extracted from the datasheets, the mean absolute error is improved by 10 times, while the speed is increased by approximately three times. 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. Lastly, to prove the applicability of the proposed method in simulation applications, the algorithm is implemented into an in-house PV array simulator and its performance is validated using field data obtained from a PV monitoring station. 2018-05 Thesis http://eprints.utm.my/id/eprint/80932/ http://eprints.utm.my/id/eprint/80932/1/ChinVunJackPFKE2018.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:118928 phd doctoral Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Chin, Vun Jack An improved hybrid computational method for the two-diode model in photovoltaic simulation applications
description	For a successful realization of the solar photovoltaic (PV) system, the availability of an accurate, fast and reliable computer simulation tool is indispensable. The most crucial component that directly affects the accuracy of the simulator is the model of the PV cell (or module) itself. As an improvement over its single diode counterpart, the two-diode model exhibits superior accuracy for wide variations of irradiance and temperature. However, due to the limited number of information that are available on the manufacturer datasheet, the determination of all seven parameters of the two-diode model is very challenging. This thesis proposes a new hybrid method to improve the computation of the two-diode model. Unlike other existing hybrid methods, the proposed method retains the computation speed of the analytical approach and utilizes only standard datasheet information. Furthermore, it does not employ any simplification in the computation of the model parameters. Four parameters are determined analytically, while the remaining three are optimized by using differential evolution. The speed is improved significantly because the parameters are optimized only once, at standard test condition, while the values at other conditions are computed using the analytical equations. Additionally, a procedure to guide the initial conditions of the Newton-Raphson iteration is introduced. For validation, the algorithm is implemented in MATLAB software and its performance is compared with other established computational methods for mono-crystalline, poly-crystalline and thin film modules. When evaluated against the experimental data extracted from the datasheets, the mean absolute error is improved by 10 times, while the speed is increased by approximately three times. 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. Lastly, to prove the applicability of the proposed method in simulation applications, the algorithm is implemented into an in-house PV array simulator and its performance is validated using field data obtained from a PV monitoring station.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Chin, Vun Jack
author_facet	Chin, Vun Jack
author_sort	Chin, Vun Jack
title	An improved hybrid computational method for the two-diode model in photovoltaic simulation applications
title_short	An improved hybrid computational method for the two-diode model in photovoltaic simulation applications
title_full	An improved hybrid computational method for the two-diode model in photovoltaic simulation applications
title_fullStr	An improved hybrid computational method for the two-diode model in photovoltaic simulation applications
title_full_unstemmed	An improved hybrid computational method for the two-diode model in photovoltaic simulation applications
title_sort	improved hybrid computational method for the two-diode model in photovoltaic simulation applications
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2018
url	http://eprints.utm.my/id/eprint/80932/1/ChinVunJackPFKE2018.pdf
_version_	1747818282520412160

An improved hybrid computational method for the two-diode model in photovoltaic simulation applications

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