Parameter Extraction of Solar Photovoltaic Modules Using Gravitational Search Algorithm

Parameter Extraction of Solar Photovoltaic Modules Using Gravitational Search Algorithm

Parameter extraction of a solar photovoltaic system is a nonlinear problem. Many optimization algorithms are implemented for this purpose, which failed in giving better results at low irradiance levels. This article presents a novel method for parameter extraction using gravitational search algorith...

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Main Authors: R. Sarjila, K. Ravi, J. Belwin Edward, K. Sathish Kumar, Avagaddi Prasad
Format: Article
Language:English
Published: Hindawi Limited 2016-01-01
Series:Journal of Electrical and Computer Engineering
Online Access:http://dx.doi.org/10.1155/2016/2143572
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spelling doaj-9e2ea79f57034b81b712e8a62a8d7a252021-07-02T12:49:55ZengHindawi LimitedJournal of Electrical and Computer Engineering2090-01472090-01552016-01-01201610.1155/2016/21435722143572Parameter Extraction of Solar Photovoltaic Modules Using Gravitational Search AlgorithmR. Sarjila0K. Ravi1J. Belwin Edward2K. Sathish Kumar3Avagaddi Prasad4School of Electrical Engineering, VIT University, Vellore, Tamil Nadu, IndiaSchool of Electrical Engineering, VIT University, Vellore, Tamil Nadu, IndiaSchool of Electrical Engineering, VIT University, Vellore, Tamil Nadu, IndiaSchool of Electrical Engineering, VIT University, Vellore, Tamil Nadu, IndiaSchool of Electrical Engineering, VIT University, Vellore, Tamil Nadu, IndiaParameter extraction of a solar photovoltaic system is a nonlinear problem. Many optimization algorithms are implemented for this purpose, which failed in giving better results at low irradiance levels. This article presents a novel method for parameter extraction using gravitational search algorithm. The proposed method evaluates the parameters of different PV panels at various irradiance levels. A critical evaluation and comparison of gravitational search algorithm with other optimization techniques such as genetic algorithm are given. Extensive simulation analyses are carried out on the proposed method and show that GSA is much suitable for parameter extraction problem.http://dx.doi.org/10.1155/2016/2143572
collection DOAJ
language English
format Article
sources DOAJ
author R. Sarjila
K. Ravi
J. Belwin Edward
K. Sathish Kumar
Avagaddi Prasad
spellingShingle R. Sarjila
K. Ravi
J. Belwin Edward
K. Sathish Kumar
Avagaddi Prasad
Parameter Extraction of Solar Photovoltaic Modules Using Gravitational Search Algorithm
Journal of Electrical and Computer Engineering
author_facet R. Sarjila
K. Ravi
J. Belwin Edward
K. Sathish Kumar
Avagaddi Prasad
author_sort R. Sarjila
title Parameter Extraction of Solar Photovoltaic Modules Using Gravitational Search Algorithm
title_short Parameter Extraction of Solar Photovoltaic Modules Using Gravitational Search Algorithm
title_full Parameter Extraction of Solar Photovoltaic Modules Using Gravitational Search Algorithm
title_fullStr Parameter Extraction of Solar Photovoltaic Modules Using Gravitational Search Algorithm
title_full_unstemmed Parameter Extraction of Solar Photovoltaic Modules Using Gravitational Search Algorithm
title_sort parameter extraction of solar photovoltaic modules using gravitational search algorithm
publisher Hindawi Limited
series Journal of Electrical and Computer Engineering
issn 2090-0147
2090-0155
publishDate 2016-01-01
description Parameter extraction of a solar photovoltaic system is a nonlinear problem. Many optimization algorithms are implemented for this purpose, which failed in giving better results at low irradiance levels. This article presents a novel method for parameter extraction using gravitational search algorithm. The proposed method evaluates the parameters of different PV panels at various irradiance levels. A critical evaluation and comparison of gravitational search algorithm with other optimization techniques such as genetic algorithm are given. Extensive simulation analyses are carried out on the proposed method and show that GSA is much suitable for parameter extraction problem.
url http://dx.doi.org/10.1155/2016/2143572
work_keys_str_mv AT rsarjila parameterextractionofsolarphotovoltaicmodulesusinggravitationalsearchalgorithm
AT kravi parameterextractionofsolarphotovoltaicmodulesusinggravitationalsearchalgorithm
AT jbelwinedward parameterextractionofsolarphotovoltaicmodulesusinggravitationalsearchalgorithm
AT ksathishkumar parameterextractionofsolarphotovoltaicmodulesusinggravitationalsearchalgorithm
AT avagaddiprasad parameterextractionofsolarphotovoltaicmodulesusinggravitationalsearchalgorithm
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