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A comparative study of evolutionary algorithms and adapting control parameters for estimating the parameters of a single-diode photovoltaic module's model

96,96 (2016),Part A,377,389,-

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Main Author: Abu Bakar Bin Mhd Ghazali, Prof. Madya Dr
Format: Article
Language:English
Published: 2017
Subjects:
Differential evolution
Photovoltaic
Parameter extraction
Electromagnetism-like
Online Access:http://dspace.uniten.edu.my:80/jspui/handle/123456789/84
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spelling my.uniten.dspace-842018-03-15T07:03:08Z A comparative study of evolutionary algorithms and adapting control parameters for estimating the parameters of a single-diode photovoltaic module's model Abu Bakar Bin Mhd Ghazali, Prof. Madya Dr Differential evolution Photovoltaic Parameter extraction Electromagnetism-like 96,96 (2016),Part A,377,389,- This paper proposes different evolutionary algorithms, such as differential evolution and electromagnetism-like algorithms, to extract the five parameters of a single-diode photovoltaic module's model. Hybrid evolutionary algorithms are proposed with integrated and adaptive mutation per iteration schemes. In addition, a new formula to adjust the mutation scaling factor and crossover rate for each generation is proposed. Analyses are performed based on experimental data points under different weather conditions to explain the robustness and reliability of the proposed methods. Results show that the proposed hybrid algorithms, namely, evolutionary algorithm with integrated mutation per iteration and evolutionary algorithm with adaptive mutation per iteration, exhibit better performance than electromagnetism-like algorithm and other methods in terms of accuracy, CPU execution time, and convergence. The proposed hybrid algorithms offer a root mean square error, mean bias error, coefficient of determination and CPU execution time around 0.062, 0.006 and 0.992, and less than 20 s respectively. Furthermore, the feasibility of the proposed methods is validated by comparing the obtained results with those of other methods under various statistical errors. As a conclusion, the proposed hybrid algorithms offer root mean square error and mean bias error less than other methods by 14% at least. 2017-07-04T03:21:11Z 2017-07-04T03:21:11Z 2016-10 Article http://dspace.uniten.edu.my:80/jspui/handle/123456789/84 en Renewable energy
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/
language English
topic Differential evolution
Photovoltaic
Parameter extraction
Electromagnetism-like
spellingShingle Differential evolution
Photovoltaic
Parameter extraction
Electromagnetism-like
Abu Bakar Bin Mhd Ghazali, Prof. Madya Dr
A comparative study of evolutionary algorithms and adapting control parameters for estimating the parameters of a single-diode photovoltaic module's model
description 96,96 (2016),Part A,377,389,-
format Article
author Abu Bakar Bin Mhd Ghazali, Prof. Madya Dr
author_facet Abu Bakar Bin Mhd Ghazali, Prof. Madya Dr
author_sort Abu Bakar Bin Mhd Ghazali, Prof. Madya Dr
title A comparative study of evolutionary algorithms and adapting control parameters for estimating the parameters of a single-diode photovoltaic module's model
title_short A comparative study of evolutionary algorithms and adapting control parameters for estimating the parameters of a single-diode photovoltaic module's model
title_full A comparative study of evolutionary algorithms and adapting control parameters for estimating the parameters of a single-diode photovoltaic module's model
title_fullStr A comparative study of evolutionary algorithms and adapting control parameters for estimating the parameters of a single-diode photovoltaic module's model
title_full_unstemmed A comparative study of evolutionary algorithms and adapting control parameters for estimating the parameters of a single-diode photovoltaic module's model
title_sort comparative study of evolutionary algorithms and adapting control parameters for estimating the parameters of a single-diode photovoltaic module's model
publishDate 2017
url http://dspace.uniten.edu.my:80/jspui/handle/123456789/84
_version_ 1644492154029998080
score 13.214268

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