A New Application of Chaos Game Optimization Algorithm for Parameters Extraction of Three Diode Photovoltaic Model
The precision of the PV model greatly influences the simulation results to enhance the effectiveness of photovoltaic (PV) energy systems. The PV mathematical model is based on a remarkably nonlinear relationship of its I-V characteristic. The data sheets of overall PV cells do not supply complete in...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9389721/ |
| _version_ | 1818863556459757568 |
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| author | Abdelhady Ramadan Salah Kamel Mahmoud M. Hussein Mohamed H. Hassan |
| author_facet | Abdelhady Ramadan Salah Kamel Mahmoud M. Hussein Mohamed H. Hassan |
| author_sort | Abdelhady Ramadan |
| collection | DOAJ |
| description | The precision of the PV model greatly influences the simulation results to enhance the effectiveness of photovoltaic (PV) energy systems. The PV mathematical model is based on a remarkably nonlinear relationship of its I-V characteristic. The data sheets of overall PV cells do not supply complete information of its parameters. This leads to a nonlinear mathematical model of PV with numerous unknown parameters. Consequently, in this paper, a new application of an appropriate optimization algorithm called Chaos Game Optimization algorithm (CGO) is proposed for estimating the unknown parameters of the three-diode (TD) PV model. The simulation results are carried out for PV real cells and PV module which with varying the temperature and irradiation. The proposed model of the PV module is evaluated by matching its results with the actual PV modules experimental results. To confirm the performance of the CGO algorithm in extracting the parameters of the PV model, its results are compared with the most present and robust techniques results in the literature. The results show that the CGO algorithm attains the least Root Mean Square Error (RMSE), the mean and standard deviation as the best solution. In addition, CGO provides the smallest implementation time compared with the other investigated algorithms. |
| first_indexed | 2024-12-19T10:17:38Z |
| format | Article |
| id | doaj.art-dadd4512316a4bf89e9859f6aaed7d01 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-19T10:17:38Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-dadd4512316a4bf89e9859f6aaed7d012022-12-21T20:26:10ZengIEEEIEEE Access2169-35362021-01-019515825159410.1109/ACCESS.2021.30699399389721A New Application of Chaos Game Optimization Algorithm for Parameters Extraction of Three Diode Photovoltaic ModelAbdelhady Ramadan0Salah Kamel1https://orcid.org/0000-0001-9505-5386Mahmoud M. Hussein2https://orcid.org/0000-0003-2204-2853Mohamed H. Hassan3https://orcid.org/0000-0003-1754-4883Department of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan, EgyptDepartment of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan, EgyptDepartment of Electrical Engineering, Faculty of Energy Engineering, Aswan University, Aswan, EgyptDepartment of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan, EgyptThe precision of the PV model greatly influences the simulation results to enhance the effectiveness of photovoltaic (PV) energy systems. The PV mathematical model is based on a remarkably nonlinear relationship of its I-V characteristic. The data sheets of overall PV cells do not supply complete information of its parameters. This leads to a nonlinear mathematical model of PV with numerous unknown parameters. Consequently, in this paper, a new application of an appropriate optimization algorithm called Chaos Game Optimization algorithm (CGO) is proposed for estimating the unknown parameters of the three-diode (TD) PV model. The simulation results are carried out for PV real cells and PV module which with varying the temperature and irradiation. The proposed model of the PV module is evaluated by matching its results with the actual PV modules experimental results. To confirm the performance of the CGO algorithm in extracting the parameters of the PV model, its results are compared with the most present and robust techniques results in the literature. The results show that the CGO algorithm attains the least Root Mean Square Error (RMSE), the mean and standard deviation as the best solution. In addition, CGO provides the smallest implementation time compared with the other investigated algorithms.https://ieeexplore.ieee.org/document/9389721/Chaos game optimization algorithmoptimizationPV parameter estimationthree-diode model |
| spellingShingle | Abdelhady Ramadan Salah Kamel Mahmoud M. Hussein Mohamed H. Hassan A New Application of Chaos Game Optimization Algorithm for Parameters Extraction of Three Diode Photovoltaic Model IEEE Access Chaos game optimization algorithm optimization PV parameter estimation three-diode model |
| title | A New Application of Chaos Game Optimization Algorithm for Parameters Extraction of Three Diode Photovoltaic Model |
| title_full | A New Application of Chaos Game Optimization Algorithm for Parameters Extraction of Three Diode Photovoltaic Model |
| title_fullStr | A New Application of Chaos Game Optimization Algorithm for Parameters Extraction of Three Diode Photovoltaic Model |
| title_full_unstemmed | A New Application of Chaos Game Optimization Algorithm for Parameters Extraction of Three Diode Photovoltaic Model |
| title_short | A New Application of Chaos Game Optimization Algorithm for Parameters Extraction of Three Diode Photovoltaic Model |
| title_sort | new application of chaos game optimization algorithm for parameters extraction of three diode photovoltaic model |
| topic | Chaos game optimization algorithm optimization PV parameter estimation three-diode model |
| url | https://ieeexplore.ieee.org/document/9389721/ |
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