Design and Implementation of Modified INC, Conventional INC, and Fuzzy Logic Controllers Applied to a PV System under Variable Weather Conditions
Maximum power point tracking (MPPT) algorithms are used in photovoltaic applications to extract the maximum power that the photovoltaic (PV) panel can produce, which depends on two inputs that are: temperature and irradiance. A DC-DC converter is inserted between the photovoltaic panel and the load...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-11-01
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| Series: | Designs |
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| Online Access: | https://www.mdpi.com/2411-9660/5/4/71 |
| _version_ | 1797505509089083392 |
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| author | Maroua Bouksaim Mohcin Mekhfioui Mohamed Nabil Srifi |
| author_facet | Maroua Bouksaim Mohcin Mekhfioui Mohamed Nabil Srifi |
| author_sort | Maroua Bouksaim |
| collection | DOAJ |
| description | Maximum power point tracking (MPPT) algorithms are used in photovoltaic applications to extract the maximum power that the photovoltaic (PV) panel can produce, which depends on two inputs that are: temperature and irradiance. A DC-DC converter is inserted between the photovoltaic panel and the load to obtain the desired voltage level on the load side. In this paper, incremental conductance (INC) algorithm, modified INC, and fuzzy logic controller (FLC) are designed and assessed to improve energy conversion efficiency. These algorithms are applied to the control of boost converter for tracking the maximum power point (MPP). The modified INC offers fast response and good performance in terms of oscillations than conventional INC and FLC. The Matlab/Simulink environment is used to analyze, interpret the simulation results, and show the performances of each algorithm; and Proteus-based Arduino environment is used to implement the three methods in order to compare the Matlab simulation results with measurements acquired during implementation that is similar to real experiment. |
| first_indexed | 2024-03-10T04:19:35Z |
| format | Article |
| id | doaj.art-103cc86a911f43e0b9be88976ba66ac2 |
| institution | Directory Open Access Journal |
| issn | 2411-9660 |
| language | English |
| last_indexed | 2024-03-10T04:19:35Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Designs |
| spelling | doaj.art-103cc86a911f43e0b9be88976ba66ac22023-11-23T07:52:15ZengMDPI AGDesigns2411-96602021-11-01547110.3390/designs5040071Design and Implementation of Modified INC, Conventional INC, and Fuzzy Logic Controllers Applied to a PV System under Variable Weather ConditionsMaroua Bouksaim0Mohcin Mekhfioui1Mohamed Nabil Srifi2The Advanced Systems Engineering Laboratory, Ibn Tofail University, B.P 242, Kenitra 14000, MoroccoFaculty of Sciences, Ibn Tofail University, B.P 242, Kenitra 14000, MoroccoThe Advanced Systems Engineering Laboratory, Ibn Tofail University, B.P 242, Kenitra 14000, MoroccoMaximum power point tracking (MPPT) algorithms are used in photovoltaic applications to extract the maximum power that the photovoltaic (PV) panel can produce, which depends on two inputs that are: temperature and irradiance. A DC-DC converter is inserted between the photovoltaic panel and the load to obtain the desired voltage level on the load side. In this paper, incremental conductance (INC) algorithm, modified INC, and fuzzy logic controller (FLC) are designed and assessed to improve energy conversion efficiency. These algorithms are applied to the control of boost converter for tracking the maximum power point (MPP). The modified INC offers fast response and good performance in terms of oscillations than conventional INC and FLC. The Matlab/Simulink environment is used to analyze, interpret the simulation results, and show the performances of each algorithm; and Proteus-based Arduino environment is used to implement the three methods in order to compare the Matlab simulation results with measurements acquired during implementation that is similar to real experiment.https://www.mdpi.com/2411-9660/5/4/71photovoltaic system (PV)boost converterincremental conductance (INC)modified incremental conductancefuzzy logic controller (FLC)maximum power point tracking (MPPT) |
| spellingShingle | Maroua Bouksaim Mohcin Mekhfioui Mohamed Nabil Srifi Design and Implementation of Modified INC, Conventional INC, and Fuzzy Logic Controllers Applied to a PV System under Variable Weather Conditions Designs photovoltaic system (PV) boost converter incremental conductance (INC) modified incremental conductance fuzzy logic controller (FLC) maximum power point tracking (MPPT) |
| title | Design and Implementation of Modified INC, Conventional INC, and Fuzzy Logic Controllers Applied to a PV System under Variable Weather Conditions |
| title_full | Design and Implementation of Modified INC, Conventional INC, and Fuzzy Logic Controllers Applied to a PV System under Variable Weather Conditions |
| title_fullStr | Design and Implementation of Modified INC, Conventional INC, and Fuzzy Logic Controllers Applied to a PV System under Variable Weather Conditions |
| title_full_unstemmed | Design and Implementation of Modified INC, Conventional INC, and Fuzzy Logic Controllers Applied to a PV System under Variable Weather Conditions |
| title_short | Design and Implementation of Modified INC, Conventional INC, and Fuzzy Logic Controllers Applied to a PV System under Variable Weather Conditions |
| title_sort | design and implementation of modified inc conventional inc and fuzzy logic controllers applied to a pv system under variable weather conditions |
| topic | photovoltaic system (PV) boost converter incremental conductance (INC) modified incremental conductance fuzzy logic controller (FLC) maximum power point tracking (MPPT) |
| url | https://www.mdpi.com/2411-9660/5/4/71 |
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