Control of multi-level quadratic DC-DC boost converter for photovoltaic systems using type-2 fuzzy logic technique-based MPPT approaches
This paper introduces a type 2 fuzzy logic (T2FL)-based controller for maximum power point tracking (MPPT) in a high-gain three-level quadratic DC-DC boost converter (TLQDC-DCBC) designed for photovoltaic (PV) systems. High-gain DC-DC converters like the TLQDC-DCBC are beneficial in PV applications...
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| Language: | English |
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Elsevier
2025-02-01
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| Series: | Heliyon |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844025005614 |
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| author | Souheyb Mohammed Belhadj Bouziane Meliani Habib Benbouhenni Sarra Zaidi Z.M.S. Elbarbary Mohammed M. Alammer |
| author_facet | Souheyb Mohammed Belhadj Bouziane Meliani Habib Benbouhenni Sarra Zaidi Z.M.S. Elbarbary Mohammed M. Alammer |
| author_sort | Souheyb Mohammed Belhadj |
| collection | DOAJ |
| description | This paper introduces a type 2 fuzzy logic (T2FL)-based controller for maximum power point tracking (MPPT) in a high-gain three-level quadratic DC-DC boost converter (TLQDC-DCBC) designed for photovoltaic (PV) systems. High-gain DC-DC converters like the TLQDC-DCBC are beneficial in PV applications as they boost low PV voltages to higher levels, thereby reducing power losses and improving overall efficiency. The proposed MPPT-T2FLC addresses key limitations of traditional MPPT methods, including the oscillations near the maximum power point (MPP) in incremental conductance (IC) algorithms and the reduced precision of type-1 fuzzy logic (T1FL) controllers under uncertain environmental conditions. By incorporating type-reduction and interval type-2 fuzzy logic principles, the T2FLC enhances robustness, precision, and adaptability to rapidly changing irradiance and temperature levels. MATLAB simulations validate the superior performance of the proposed controller, demonstrating a consistent tracking efficiency of over 99.5 % across varying conditions (irradiance: 700–1000 W/m2, temperature: 25–45 °C). Comparative analysis reveals that the T2FLC improves tracking efficiency by up to 5.2 % compared to T1FLC and 7.5 % compared to IC, while also achieving faster convergence, reduced steady-state error, and enhanced stability. These results highlight the significant potential of the MPPT-T2FLC in optimizing energy extraction and improving the reliability of PV systems operating under dynamic environmental conditions. |
| format | Article |
| id | doaj-art-1056b8c6f75e4b3ebec66e5ecbabf9ac |
| institution | Kabale University |
| issn | 2405-8440 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj-art-1056b8c6f75e4b3ebec66e5ecbabf9ac2025-01-29T05:01:31ZengElsevierHeliyon2405-84402025-02-01113e42181Control of multi-level quadratic DC-DC boost converter for photovoltaic systems using type-2 fuzzy logic technique-based MPPT approachesSouheyb Mohammed Belhadj0Bouziane Meliani1Habib Benbouhenni2Sarra Zaidi3Z.M.S. Elbarbary4Mohammed M. Alammer5Laboratory GIDD, Department of Electrical Engineering and Automation, University of Relizane, Relizane, Algeria; Corresponding author.Laboratory GIDD, Department of Electrical Engineering and Automation, University of Relizane, Relizane, AlgeriaDepartment of Electrical Engineering, LAAS Laboratory, National Polytechnic School of Oran-Maurice Audin, Oran El M'naouer, BP 1523, AlgeriaLaboratory GIDD, Department of Electrical Engineering and Automation, University of Relizane, Relizane, AlgeriaDepartment of Electrical Engineering, College of Engineering, King Khalid University, KSA, P.O. Box 394, Abha, 61421, Saudi Arabia; Center for Engineering and Technology Innovations, King Khalid University, Abha, 61421, Saudi ArabiaDepartment of Electrical Engineering, College of Engineering, King Khalid University, KSA, P.O. Box 394, Abha, 61421, Saudi Arabia; Center for Engineering and Technology Innovations, King Khalid University, Abha, 61421, Saudi ArabiaThis paper introduces a type 2 fuzzy logic (T2FL)-based controller for maximum power point tracking (MPPT) in a high-gain three-level quadratic DC-DC boost converter (TLQDC-DCBC) designed for photovoltaic (PV) systems. High-gain DC-DC converters like the TLQDC-DCBC are beneficial in PV applications as they boost low PV voltages to higher levels, thereby reducing power losses and improving overall efficiency. The proposed MPPT-T2FLC addresses key limitations of traditional MPPT methods, including the oscillations near the maximum power point (MPP) in incremental conductance (IC) algorithms and the reduced precision of type-1 fuzzy logic (T1FL) controllers under uncertain environmental conditions. By incorporating type-reduction and interval type-2 fuzzy logic principles, the T2FLC enhances robustness, precision, and adaptability to rapidly changing irradiance and temperature levels. MATLAB simulations validate the superior performance of the proposed controller, demonstrating a consistent tracking efficiency of over 99.5 % across varying conditions (irradiance: 700–1000 W/m2, temperature: 25–45 °C). Comparative analysis reveals that the T2FLC improves tracking efficiency by up to 5.2 % compared to T1FLC and 7.5 % compared to IC, while also achieving faster convergence, reduced steady-state error, and enhanced stability. These results highlight the significant potential of the MPPT-T2FLC in optimizing energy extraction and improving the reliability of PV systems operating under dynamic environmental conditions.http://www.sciencedirect.com/science/article/pii/S2405844025005614Photovoltaic systemsIncremental conductanceDC-DC boost converterType 2 fuzzy logicMaximum power point |
| spellingShingle | Souheyb Mohammed Belhadj Bouziane Meliani Habib Benbouhenni Sarra Zaidi Z.M.S. Elbarbary Mohammed M. Alammer Control of multi-level quadratic DC-DC boost converter for photovoltaic systems using type-2 fuzzy logic technique-based MPPT approaches Heliyon Photovoltaic systems Incremental conductance DC-DC boost converter Type 2 fuzzy logic Maximum power point |
| title | Control of multi-level quadratic DC-DC boost converter for photovoltaic systems using type-2 fuzzy logic technique-based MPPT approaches |
| title_full | Control of multi-level quadratic DC-DC boost converter for photovoltaic systems using type-2 fuzzy logic technique-based MPPT approaches |
| title_fullStr | Control of multi-level quadratic DC-DC boost converter for photovoltaic systems using type-2 fuzzy logic technique-based MPPT approaches |
| title_full_unstemmed | Control of multi-level quadratic DC-DC boost converter for photovoltaic systems using type-2 fuzzy logic technique-based MPPT approaches |
| title_short | Control of multi-level quadratic DC-DC boost converter for photovoltaic systems using type-2 fuzzy logic technique-based MPPT approaches |
| title_sort | control of multi level quadratic dc dc boost converter for photovoltaic systems using type 2 fuzzy logic technique based mppt approaches |
| topic | Photovoltaic systems Incremental conductance DC-DC boost converter Type 2 fuzzy logic Maximum power point |
| url | http://www.sciencedirect.com/science/article/pii/S2405844025005614 |
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