An Innovative Hunter-Prey-Based Optimization for Electrically Based Single-, Double-, and Triple-Diode Models of Solar Photovoltaic Systems
The derivation of PV model parameters is crucial for the optimization, control, and simulation of PV systems. Although many parameter extraction algorithms have been developed to address this issue, they might have some limitations. This work presents an efficient hybrid optimization approach for re...
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MDPI AG
2022-12-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/10/23/4625 |
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| author | Mostafa Elshahed Ali M. El-Rifaie Mohamed A. Tolba Ahmed Ginidi Abdullah Shaheen Shazly A. Mohamed |
| author_facet | Mostafa Elshahed Ali M. El-Rifaie Mohamed A. Tolba Ahmed Ginidi Abdullah Shaheen Shazly A. Mohamed |
| author_sort | Mostafa Elshahed |
| collection | DOAJ |
| description | The derivation of PV model parameters is crucial for the optimization, control, and simulation of PV systems. Although many parameter extraction algorithms have been developed to address this issue, they might have some limitations. This work presents an efficient hybrid optimization approach for reliably and effectively extracting PV parameters based on the hunter–prey optimizer (HPO) technique. The proposed HPO technique is a new population-based optimizer inspired by the behavior of prey and predator animals. In the proposed HPO mechanism, the predator attacks the prey that leaves the prey population. Accordingly, the position of a hunter is adjusted toward this distant prey, while the position of the prey is adjusted towards a secure place. The search agent’s position, which represents the best fitness function value, is considered a secure place. The proposed HPO technique worked as suggested when parameters are extracted from several PV models, including single-, double-, and triple-diode models. Moreover, a statistical error analysis was used to demonstrate the superiority of the proposed method. The proposed HPO technique outperformed other recently reported techniques in terms of convergence speed, dependability, and accuracy, according to simulation data. |
| first_indexed | 2024-03-09T17:41:07Z |
| format | Article |
| id | doaj.art-e9e631e9ddb846428f17368b454a61ec |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-09T17:41:07Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-e9e631e9ddb846428f17368b454a61ec2023-11-24T11:36:46ZengMDPI AGMathematics2227-73902022-12-011023462510.3390/math10234625An Innovative Hunter-Prey-Based Optimization for Electrically Based Single-, Double-, and Triple-Diode Models of Solar Photovoltaic SystemsMostafa Elshahed0Ali M. El-Rifaie1Mohamed A. Tolba2Ahmed Ginidi3Abdullah Shaheen4Shazly A. Mohamed5Electrical Engineering Department, Engineering and Information Technology College, Buraydah Private Colleges, Buraydah 81418, Saudi ArabiaCollege of Engineering and Technology, American University of the Middle East, Egaila 54200, KuwaitReactors Department, Nuclear Research Center, Egyptian Atomic Energy Authority, Cairo 11787, EgyptDepartment of Electrical Power Engineering, Faculty of Engineering, Suez University, Suez 43533, EgyptDepartment of Electrical Power Engineering, Faculty of Engineering, Suez University, Suez 43533, EgyptElectrical Engineering Department, Faculty of Engineering, South Valley University, Qena 83523, EgyptThe derivation of PV model parameters is crucial for the optimization, control, and simulation of PV systems. Although many parameter extraction algorithms have been developed to address this issue, they might have some limitations. This work presents an efficient hybrid optimization approach for reliably and effectively extracting PV parameters based on the hunter–prey optimizer (HPO) technique. The proposed HPO technique is a new population-based optimizer inspired by the behavior of prey and predator animals. In the proposed HPO mechanism, the predator attacks the prey that leaves the prey population. Accordingly, the position of a hunter is adjusted toward this distant prey, while the position of the prey is adjusted towards a secure place. The search agent’s position, which represents the best fitness function value, is considered a secure place. The proposed HPO technique worked as suggested when parameters are extracted from several PV models, including single-, double-, and triple-diode models. Moreover, a statistical error analysis was used to demonstrate the superiority of the proposed method. The proposed HPO technique outperformed other recently reported techniques in terms of convergence speed, dependability, and accuracy, according to simulation data.https://www.mdpi.com/2227-7390/10/23/4625parameter estimationsingle-diode modeldouble-diode modeltriple-diode modelhunter–prey optimizerphotovoltaic cells |
| spellingShingle | Mostafa Elshahed Ali M. El-Rifaie Mohamed A. Tolba Ahmed Ginidi Abdullah Shaheen Shazly A. Mohamed An Innovative Hunter-Prey-Based Optimization for Electrically Based Single-, Double-, and Triple-Diode Models of Solar Photovoltaic Systems Mathematics parameter estimation single-diode model double-diode model triple-diode model hunter–prey optimizer photovoltaic cells |
| title | An Innovative Hunter-Prey-Based Optimization for Electrically Based Single-, Double-, and Triple-Diode Models of Solar Photovoltaic Systems |
| title_full | An Innovative Hunter-Prey-Based Optimization for Electrically Based Single-, Double-, and Triple-Diode Models of Solar Photovoltaic Systems |
| title_fullStr | An Innovative Hunter-Prey-Based Optimization for Electrically Based Single-, Double-, and Triple-Diode Models of Solar Photovoltaic Systems |
| title_full_unstemmed | An Innovative Hunter-Prey-Based Optimization for Electrically Based Single-, Double-, and Triple-Diode Models of Solar Photovoltaic Systems |
| title_short | An Innovative Hunter-Prey-Based Optimization for Electrically Based Single-, Double-, and Triple-Diode Models of Solar Photovoltaic Systems |
| title_sort | innovative hunter prey based optimization for electrically based single double and triple diode models of solar photovoltaic systems |
| topic | parameter estimation single-diode model double-diode model triple-diode model hunter–prey optimizer photovoltaic cells |
| url | https://www.mdpi.com/2227-7390/10/23/4625 |
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