On the problem formulation for parameter extraction of the photovoltaic model: novel integration of hybrid evolutionary algorithm and Levenberg Marquardt based on adaptive damping parameter formula
The estimation of the unknown parameters of the photovoltaic (PV) model is crucial for accurately verifying its real performance precisely under a wide range of climatic conditions. This paper presents an approach to determine the nine parameters of the three diode (TD) PV model based on the integra...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Published: |
Elsevier
2022
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| Online Access: | http://psasir.upm.edu.my/id/eprint/102392/ |
| _version_ | 1848863791367847936 |
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| author | Mohammed Ridha, Hussein Hizam, Hashim Mirjalili, Seyedali Othman, Mohammad Lutfi Ya'acob, Mohammad Effendy Ahmadipour, Masoud Ismaeel, Nooruldeen Q. |
| author_facet | Mohammed Ridha, Hussein Hizam, Hashim Mirjalili, Seyedali Othman, Mohammad Lutfi Ya'acob, Mohammad Effendy Ahmadipour, Masoud Ismaeel, Nooruldeen Q. |
| author_sort | Mohammed Ridha, Hussein |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | The estimation of the unknown parameters of the photovoltaic (PV) model is crucial for accurately verifying its real performance precisely under a wide range of climatic conditions. This paper presents an approach to determine the nine parameters of the three diode (TD) PV model based on the integration of the guaranteed convergence arithmetic optimization algorithm and Levenberg-Marquardt with adaptive damping nonlinear parameter method named as GCAOAAdLM. The keystone of the GCAOAAdLM model is accomplished by efficaciously enhancing the exploiter-explorer tendency with inclusion of various powerful hybrid strategies in terms the methodology itself. In addition, the objective function is newly designed leveraging on Levenberg-Marquardt with adaptive damping parameter method to accurately determine the initial roots parameters of the TD PV model. The experimental results demonstrate that the proposed GCAOAAdLM can reduce the root mean square error (RMSE), mean bias error (MBE), deviation of solar radiation’s levels (di), test statistical (TS), and absolute error (AE) to zero and the determination coefficient (R2) to 1 for all environmental conditions, with statistical reasons and comparisons against well-published approaches available in the literature. |
| first_indexed | 2025-11-15T13:38:32Z |
| format | Article |
| id | upm-102392 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T13:38:32Z |
| publishDate | 2022 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1023922023-05-22T02:47:52Z http://psasir.upm.edu.my/id/eprint/102392/ On the problem formulation for parameter extraction of the photovoltaic model: novel integration of hybrid evolutionary algorithm and Levenberg Marquardt based on adaptive damping parameter formula Mohammed Ridha, Hussein Hizam, Hashim Mirjalili, Seyedali Othman, Mohammad Lutfi Ya'acob, Mohammad Effendy Ahmadipour, Masoud Ismaeel, Nooruldeen Q. The estimation of the unknown parameters of the photovoltaic (PV) model is crucial for accurately verifying its real performance precisely under a wide range of climatic conditions. This paper presents an approach to determine the nine parameters of the three diode (TD) PV model based on the integration of the guaranteed convergence arithmetic optimization algorithm and Levenberg-Marquardt with adaptive damping nonlinear parameter method named as GCAOAAdLM. The keystone of the GCAOAAdLM model is accomplished by efficaciously enhancing the exploiter-explorer tendency with inclusion of various powerful hybrid strategies in terms the methodology itself. In addition, the objective function is newly designed leveraging on Levenberg-Marquardt with adaptive damping parameter method to accurately determine the initial roots parameters of the TD PV model. The experimental results demonstrate that the proposed GCAOAAdLM can reduce the root mean square error (RMSE), mean bias error (MBE), deviation of solar radiation’s levels (di), test statistical (TS), and absolute error (AE) to zero and the determination coefficient (R2) to 1 for all environmental conditions, with statistical reasons and comparisons against well-published approaches available in the literature. Elsevier 2022 Article PeerReviewed Mohammed Ridha, Hussein and Hizam, Hashim and Mirjalili, Seyedali and Othman, Mohammad Lutfi and Ya'acob, Mohammad Effendy and Ahmadipour, Masoud and Ismaeel, Nooruldeen Q. (2022) On the problem formulation for parameter extraction of the photovoltaic model: novel integration of hybrid evolutionary algorithm and Levenberg Marquardt based on adaptive damping parameter formula. Energy Conversion and Management, 256. art. no. 115403. pp. 1-19. ISSN 0196-8904; ESSN: 1879-2227 https://www.sciencedirect.com/science/article/pii/S0196890422001996 10.1016/j.enconman.2022.115403 |
| spellingShingle | Mohammed Ridha, Hussein Hizam, Hashim Mirjalili, Seyedali Othman, Mohammad Lutfi Ya'acob, Mohammad Effendy Ahmadipour, Masoud Ismaeel, Nooruldeen Q. On the problem formulation for parameter extraction of the photovoltaic model: novel integration of hybrid evolutionary algorithm and Levenberg Marquardt based on adaptive damping parameter formula |
| title | On the problem formulation for parameter extraction of the photovoltaic model: novel integration of hybrid evolutionary algorithm and Levenberg Marquardt based on adaptive damping parameter formula |
| title_full | On the problem formulation for parameter extraction of the photovoltaic model: novel integration of hybrid evolutionary algorithm and Levenberg Marquardt based on adaptive damping parameter formula |
| title_fullStr | On the problem formulation for parameter extraction of the photovoltaic model: novel integration of hybrid evolutionary algorithm and Levenberg Marquardt based on adaptive damping parameter formula |
| title_full_unstemmed | On the problem formulation for parameter extraction of the photovoltaic model: novel integration of hybrid evolutionary algorithm and Levenberg Marquardt based on adaptive damping parameter formula |
| title_short | On the problem formulation for parameter extraction of the photovoltaic model: novel integration of hybrid evolutionary algorithm and Levenberg Marquardt based on adaptive damping parameter formula |
| title_sort | on the problem formulation for parameter extraction of the photovoltaic model: novel integration of hybrid evolutionary algorithm and levenberg marquardt based on adaptive damping parameter formula |
| url | http://psasir.upm.edu.my/id/eprint/102392/ http://psasir.upm.edu.my/id/eprint/102392/ http://psasir.upm.edu.my/id/eprint/102392/ |