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: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2016-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2016/2143572 |
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| _version_ | 1832565943703699456 |
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| author | R. Sarjila K. Ravi J. Belwin Edward K. Sathish Kumar Avagaddi Prasad |
| author_facet | R. Sarjila K. Ravi J. Belwin Edward K. Sathish Kumar Avagaddi Prasad |
| author_sort | R. Sarjila |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-9e2ea79f57034b81b712e8a62a8d7a25 |
| institution | Kabale University |
| issn | 2090-0147 2090-0155 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-9e2ea79f57034b81b712e8a62a8d7a252025-02-03T01:06:14ZengWileyJournal 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 |
| 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 |
| title | 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_short | Parameter Extraction of Solar Photovoltaic Modules Using Gravitational Search Algorithm |
| title_sort | parameter extraction of solar photovoltaic modules using gravitational search algorithm |
| url | http://dx.doi.org/10.1155/2016/2143572 |
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