Improved Hybrid Parameters Extraction of a PV Module Using a Moth Flame Algorithm
The identification of actual photovoltaic (PV) model parameters under real operating condition is a crucial step for PV engineering. An accurate and trusted model depends mainly on the accuracy of the model parameters. In this paper, an accurate and enhanced methodology is intended for PV module par...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-11-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/10/22/2798 |
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| author | Safi Allah Hamadi Aissa Chouder Mohamed Mounir Rezaoui Saad Motahhir Ameur Miloud Kaddouri |
| author_facet | Safi Allah Hamadi Aissa Chouder Mohamed Mounir Rezaoui Saad Motahhir Ameur Miloud Kaddouri |
| author_sort | Safi Allah Hamadi |
| collection | DOAJ |
| description | The identification of actual photovoltaic (PV) model parameters under real operating condition is a crucial step for PV engineering. An accurate and trusted model depends mainly on the accuracy of the model parameters. In this paper, an accurate and enhanced methodology is intended for PV module parameters extraction in outdoor conditions. The proposed methodology combines numerical methods and analytical formulations of the one diode model to derive the five unknown parameters in any operating condition of irradiance and temperature. First, the measured I-V curves at a random weather condition are translated to standard test conditions (i.e., G = 1000 W/m<sup>2</sup>, T = 25 °C), using translation equations. The second step consists of using an optimization algorithm namely the moth flame algorithm (MFO) to find out the five parameters at standard test conditions. Analytical formulations, at a random irradiance and temperature, are then used to express the unknown parameters at any irradiance and temperature. The proposed approach is validated under outdoor conditions against measured I-V curves at different irradiances and temperatures. The validation has also been performed under dynamic operation where the measured maximum power point coordinates (MPP) are compared to the predicted maximum power points. The obtained results from the adopted hybrid methodology confirm the accuracy of the parameter extraction procedure. |
| first_indexed | 2024-03-10T05:33:15Z |
| format | Article |
| id | doaj.art-44c5a3c5be0c4433ae8c07feca08efc3 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-10T05:33:15Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-44c5a3c5be0c4433ae8c07feca08efc32023-11-22T23:07:16ZengMDPI AGElectronics2079-92922021-11-011022279810.3390/electronics10222798Improved Hybrid Parameters Extraction of a PV Module Using a Moth Flame AlgorithmSafi Allah Hamadi0Aissa Chouder1Mohamed Mounir Rezaoui2Saad Motahhir3Ameur Miloud Kaddouri4Applied Automation and Industrial Diagnostics Laboratory (LAADI), Djelfa University, Djelfa 17000, AlgeriaElectrical Engineering Laboratory (LGE), University Mohamed Boudiaf of M’sila, M’sila 28000, AlgeriaApplied Automation and Industrial Diagnostics Laboratory (LAADI), Djelfa University, Djelfa 17000, AlgeriaEngineering, Systems and Applications Laboratory, ENSA, SMBA University, Fez 30050, MoroccoApplied Automation and Industrial Diagnostics Laboratory (LAADI), Djelfa University, Djelfa 17000, AlgeriaThe identification of actual photovoltaic (PV) model parameters under real operating condition is a crucial step for PV engineering. An accurate and trusted model depends mainly on the accuracy of the model parameters. In this paper, an accurate and enhanced methodology is intended for PV module parameters extraction in outdoor conditions. The proposed methodology combines numerical methods and analytical formulations of the one diode model to derive the five unknown parameters in any operating condition of irradiance and temperature. First, the measured I-V curves at a random weather condition are translated to standard test conditions (i.e., G = 1000 W/m<sup>2</sup>, T = 25 °C), using translation equations. The second step consists of using an optimization algorithm namely the moth flame algorithm (MFO) to find out the five parameters at standard test conditions. Analytical formulations, at a random irradiance and temperature, are then used to express the unknown parameters at any irradiance and temperature. The proposed approach is validated under outdoor conditions against measured I-V curves at different irradiances and temperatures. The validation has also been performed under dynamic operation where the measured maximum power point coordinates (MPP) are compared to the predicted maximum power points. The obtained results from the adopted hybrid methodology confirm the accuracy of the parameter extraction procedure.https://www.mdpi.com/2079-9292/10/22/2798PV panelparameters extractionmoth flame algorithmvalidation |
| spellingShingle | Safi Allah Hamadi Aissa Chouder Mohamed Mounir Rezaoui Saad Motahhir Ameur Miloud Kaddouri Improved Hybrid Parameters Extraction of a PV Module Using a Moth Flame Algorithm Electronics PV panel parameters extraction moth flame algorithm validation |
| title | Improved Hybrid Parameters Extraction of a PV Module Using a Moth Flame Algorithm |
| title_full | Improved Hybrid Parameters Extraction of a PV Module Using a Moth Flame Algorithm |
| title_fullStr | Improved Hybrid Parameters Extraction of a PV Module Using a Moth Flame Algorithm |
| title_full_unstemmed | Improved Hybrid Parameters Extraction of a PV Module Using a Moth Flame Algorithm |
| title_short | Improved Hybrid Parameters Extraction of a PV Module Using a Moth Flame Algorithm |
| title_sort | improved hybrid parameters extraction of a pv module using a moth flame algorithm |
| topic | PV panel parameters extraction moth flame algorithm validation |
| url | https://www.mdpi.com/2079-9292/10/22/2798 |
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