Intelligent Perturb and Observe Based MPPT Approach Using Multilevel DC-DC Converter to Improve PV Production System
In this paper, an optimized maximum power point tracking (MPPT) control for a standalone photovoltaic (PV) system using a three-level boost (TLB) converter is introduced. The proposed MPPT method is based on an intelligent perturb and observe algorithm using the artificial neural network (ANN-P&...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2021/6673022 |
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| author | Imane Ait Ayad Elmostafa Elwarraki Mohamed Baghdadi |
| author_facet | Imane Ait Ayad Elmostafa Elwarraki Mohamed Baghdadi |
| author_sort | Imane Ait Ayad |
| collection | DOAJ |
| description | In this paper, an optimized maximum power point tracking (MPPT) control for a standalone photovoltaic (PV) system using a three-level boost (TLB) converter is introduced. The proposed MPPT method is based on an intelligent perturb and observe algorithm using the artificial neural network (ANN-P&O) to reduce the oscillations at the maximum power point (MPP). In advance, The ANN provides the values of the voltage and the current at the MPP for any solar irradiance and cell temperature. Based on the provided voltage and current, the P&O algorithm generates the optimal duty cycle of the TLB converter to perfectly track the MPP of the PV generator for different values of cell temperature and sunlight irradiance. Besides, a proportional-integral (PI) controller is added to ensure the TLB capacitor voltage balance. The established ANN-P&O approach is validated in Matlab/Simulink and compared to the conventional P&O algorithm under various scenarios: (i) irradiance variations, (ii) temperature variations, and (iii) load variations. |
| format | Article |
| id | doaj-art-ac229b1189af4a4e984ffa4a3b45063b |
| institution | Kabale University |
| issn | 2090-0147 2090-0155 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-ac229b1189af4a4e984ffa4a3b45063b2025-08-20T03:39:14ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552021-01-01202110.1155/2021/66730226673022Intelligent Perturb and Observe Based MPPT Approach Using Multilevel DC-DC Converter to Improve PV Production SystemImane Ait Ayad0Elmostafa Elwarraki1Mohamed Baghdadi2Faculty of Sciences and Technologies, Cadi Ayyad University, Marrakesh, MoroccoFaculty of Sciences and Technologies, Cadi Ayyad University, Marrakesh, MoroccoFaculty of Sciences and Technologies, Cadi Ayyad University, Marrakesh, MoroccoIn this paper, an optimized maximum power point tracking (MPPT) control for a standalone photovoltaic (PV) system using a three-level boost (TLB) converter is introduced. The proposed MPPT method is based on an intelligent perturb and observe algorithm using the artificial neural network (ANN-P&O) to reduce the oscillations at the maximum power point (MPP). In advance, The ANN provides the values of the voltage and the current at the MPP for any solar irradiance and cell temperature. Based on the provided voltage and current, the P&O algorithm generates the optimal duty cycle of the TLB converter to perfectly track the MPP of the PV generator for different values of cell temperature and sunlight irradiance. Besides, a proportional-integral (PI) controller is added to ensure the TLB capacitor voltage balance. The established ANN-P&O approach is validated in Matlab/Simulink and compared to the conventional P&O algorithm under various scenarios: (i) irradiance variations, (ii) temperature variations, and (iii) load variations.http://dx.doi.org/10.1155/2021/6673022 |
| spellingShingle | Imane Ait Ayad Elmostafa Elwarraki Mohamed Baghdadi Intelligent Perturb and Observe Based MPPT Approach Using Multilevel DC-DC Converter to Improve PV Production System Journal of Electrical and Computer Engineering |
| title | Intelligent Perturb and Observe Based MPPT Approach Using Multilevel DC-DC Converter to Improve PV Production System |
| title_full | Intelligent Perturb and Observe Based MPPT Approach Using Multilevel DC-DC Converter to Improve PV Production System |
| title_fullStr | Intelligent Perturb and Observe Based MPPT Approach Using Multilevel DC-DC Converter to Improve PV Production System |
| title_full_unstemmed | Intelligent Perturb and Observe Based MPPT Approach Using Multilevel DC-DC Converter to Improve PV Production System |
| title_short | Intelligent Perturb and Observe Based MPPT Approach Using Multilevel DC-DC Converter to Improve PV Production System |
| title_sort | intelligent perturb and observe based mppt approach using multilevel dc dc converter to improve pv production system |
| url | http://dx.doi.org/10.1155/2021/6673022 |
| work_keys_str_mv | AT imaneaitayad intelligentperturbandobservebasedmpptapproachusingmultileveldcdcconvertertoimprovepvproductionsystem AT elmostafaelwarraki intelligentperturbandobservebasedmpptapproachusingmultileveldcdcconvertertoimprovepvproductionsystem AT mohamedbaghdadi intelligentperturbandobservebasedmpptapproachusingmultileveldcdcconvertertoimprovepvproductionsystem |