A Novel Solution Methodology Based on a Modified Gradient-Based Optimizer for Parameter Estimation of Photovoltaic Models
In this paper, a modified version of a recent optimization algorithm called gradient-based optimizer (GBO) is proposed with the aim of improving its performance. Both the original gradient-based optimizer and the modified version, MGBO, are utilized for estimating the parameters of Photovoltaic mode...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-02-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/10/4/472 |
| _version_ | 1797396427324784640 |
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| author | Mohamed H. Hassan Salah Kamel M. A. El-Dabah Hegazy Rezk |
| author_facet | Mohamed H. Hassan Salah Kamel M. A. El-Dabah Hegazy Rezk |
| author_sort | Mohamed H. Hassan |
| collection | DOAJ |
| description | In this paper, a modified version of a recent optimization algorithm called gradient-based optimizer (GBO) is proposed with the aim of improving its performance. Both the original gradient-based optimizer and the modified version, MGBO, are utilized for estimating the parameters of Photovoltaic models. The MGBO has the advantages of accelerated convergence rate as well as avoiding the local optima. These features make it compatible for investigating its performance in one of the nonlinear optimization problems like Photovoltaic model parameters estimation. The MGBO is used for the identification of parameters of different Photovoltaic models; single-diode, double-diode, and PV module. To obtain a generic Photovoltaic model, it is required to fit the experimentally obtained data. During the optimization process, the unknown parameters of the PV model are used as a decision variable whereas the root means squared error between the measured and estimated data is used as a cost function. The results verified the fast conversion rate and precision of the MGBO over other recently reported algorithms in solving the studied optimization problem. |
| first_indexed | 2024-03-09T00:51:07Z |
| format | Article |
| id | doaj.art-0062807dd20e4dad9605a1909d78f11b |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-09T00:51:07Z |
| publishDate | 2021-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-0062807dd20e4dad9605a1909d78f11b2023-12-11T17:11:20ZengMDPI AGElectronics2079-92922021-02-0110447210.3390/electronics10040472A Novel Solution Methodology Based on a Modified Gradient-Based Optimizer for Parameter Estimation of Photovoltaic ModelsMohamed H. Hassan0Salah Kamel1M. A. El-Dabah2Hegazy Rezk3Department of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan 81542, EgyptDepartment of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan 81542, EgyptElectrical Engineering Department, Faculty of Engineering, Al-AZHAR University, Cairo 11651, EgyptCollege of Engineering at Wadi Addawaser, Prince Sattam Bin Abdulaziz University, Wadi Addawaser 11991, Saudi ArabiaIn this paper, a modified version of a recent optimization algorithm called gradient-based optimizer (GBO) is proposed with the aim of improving its performance. Both the original gradient-based optimizer and the modified version, MGBO, are utilized for estimating the parameters of Photovoltaic models. The MGBO has the advantages of accelerated convergence rate as well as avoiding the local optima. These features make it compatible for investigating its performance in one of the nonlinear optimization problems like Photovoltaic model parameters estimation. The MGBO is used for the identification of parameters of different Photovoltaic models; single-diode, double-diode, and PV module. To obtain a generic Photovoltaic model, it is required to fit the experimentally obtained data. During the optimization process, the unknown parameters of the PV model are used as a decision variable whereas the root means squared error between the measured and estimated data is used as a cost function. The results verified the fast conversion rate and precision of the MGBO over other recently reported algorithms in solving the studied optimization problem.https://www.mdpi.com/2079-9292/10/4/472modified gradient-based optimizerparameter estimationphotovoltaicsingle-diodedouble-diodePV module |
| spellingShingle | Mohamed H. Hassan Salah Kamel M. A. El-Dabah Hegazy Rezk A Novel Solution Methodology Based on a Modified Gradient-Based Optimizer for Parameter Estimation of Photovoltaic Models Electronics modified gradient-based optimizer parameter estimation photovoltaic single-diode double-diode PV module |
| title | A Novel Solution Methodology Based on a Modified Gradient-Based Optimizer for Parameter Estimation of Photovoltaic Models |
| title_full | A Novel Solution Methodology Based on a Modified Gradient-Based Optimizer for Parameter Estimation of Photovoltaic Models |
| title_fullStr | A Novel Solution Methodology Based on a Modified Gradient-Based Optimizer for Parameter Estimation of Photovoltaic Models |
| title_full_unstemmed | A Novel Solution Methodology Based on a Modified Gradient-Based Optimizer for Parameter Estimation of Photovoltaic Models |
| title_short | A Novel Solution Methodology Based on a Modified Gradient-Based Optimizer for Parameter Estimation of Photovoltaic Models |
| title_sort | novel solution methodology based on a modified gradient based optimizer for parameter estimation of photovoltaic models |
| topic | modified gradient-based optimizer parameter estimation photovoltaic single-diode double-diode PV module |
| url | https://www.mdpi.com/2079-9292/10/4/472 |
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