Fuzzy-based maximum power point tracking (MPPT) control system for photovoltaic power generation system
The ability of the Maximum Power Point Tracking (MPPT) technology to prevent losses by stabilizing power fluctuations during severe weather conditions is critical in improving photovoltaic power generation systems. Overall system stability is improved by carefully tracing the maximum power point (MP...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-12-01
|
| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123023005935 |
| _version_ | 1827578677881208832 |
|---|---|
| author | Kifayat Ullah Muhammad Ishaq Fairouz Tchier Hijaz Ahmad Zubair Ahmad |
| author_facet | Kifayat Ullah Muhammad Ishaq Fairouz Tchier Hijaz Ahmad Zubair Ahmad |
| author_sort | Kifayat Ullah |
| collection | DOAJ |
| description | The ability of the Maximum Power Point Tracking (MPPT) technology to prevent losses by stabilizing power fluctuations during severe weather conditions is critical in improving photovoltaic power generation systems. Overall system stability is improved by carefully tracing the maximum power point (MPP). This research focuses on improving MPPT performance in solar systems by employing the ''Fuzzy Logic'' control method. The simulation, which is run in MATLAB/Simulink, includes a detailed model of the entire system. The primary circuit is designed with a DC-DC Boost architecture and a single MOSFET transistor. The Fuzzy Logic Controller (FLC) unit in MATLAB/Simulink generates an output variable led by two input variables via the Fuzzy Logic Controller unit. The Fuzzy Logic Controller (FLC) unit generates an output variable led by two input variables in MATLAB/Simulink. The simulation model, called ''Fuzzy Disturbance,'' combines Perturb & Observe with Fuzzy Logic and runs for 3 s. The results show an essential increase in system efficiency to 97%. The simulation results show that the suggested approach tracks MPP, reduces output power fluctuations, and improves system efficiency. |
| first_indexed | 2024-03-08T21:49:53Z |
| format | Article |
| id | doaj.art-3f8aa6b59151470e91af9b5b4849f4c7 |
| institution | Directory Open Access Journal |
| issn | 2590-1230 |
| language | English |
| last_indexed | 2024-03-08T21:49:53Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Engineering |
| spelling | doaj.art-3f8aa6b59151470e91af9b5b4849f4c72023-12-20T07:35:49ZengElsevierResults in Engineering2590-12302023-12-0120101466Fuzzy-based maximum power point tracking (MPPT) control system for photovoltaic power generation systemKifayat Ullah0Muhammad Ishaq1Fairouz Tchier2Hijaz Ahmad3Zubair Ahmad4Department of engineering, University of Campania Luigi Vanvitelli, Aversa, 81031, ItalyDepartment of engineering, University of Campania Luigi Vanvitelli, Aversa, 81031, Italy; Corresponding author.Department of Mathematics, King Saud University, Riyadh, 145111, Saudi ArabiaSection of Mathematics, International Telematic University Uninettuno, Corso Vittorio Emanuele II, 39, 00186, Roma, Italy; Corresponding author. Near East University, Operational Research Center in Healthcare, Near East Boulevard, PC: 99138 Nicosia/Mersin 10, Turkey.Department of Mathematics and Physics, University of Campania “Luigi Vanvitelli”, Caserta, 81100, ItalyThe ability of the Maximum Power Point Tracking (MPPT) technology to prevent losses by stabilizing power fluctuations during severe weather conditions is critical in improving photovoltaic power generation systems. Overall system stability is improved by carefully tracing the maximum power point (MPP). This research focuses on improving MPPT performance in solar systems by employing the ''Fuzzy Logic'' control method. The simulation, which is run in MATLAB/Simulink, includes a detailed model of the entire system. The primary circuit is designed with a DC-DC Boost architecture and a single MOSFET transistor. The Fuzzy Logic Controller (FLC) unit in MATLAB/Simulink generates an output variable led by two input variables via the Fuzzy Logic Controller unit. The Fuzzy Logic Controller (FLC) unit generates an output variable led by two input variables in MATLAB/Simulink. The simulation model, called ''Fuzzy Disturbance,'' combines Perturb & Observe with Fuzzy Logic and runs for 3 s. The results show an essential increase in system efficiency to 97%. The simulation results show that the suggested approach tracks MPP, reduces output power fluctuations, and improves system efficiency.http://www.sciencedirect.com/science/article/pii/S2590123023005935DC converterFuzzy logic controllerMPPTPhotovoltaicRenewable energy |
| spellingShingle | Kifayat Ullah Muhammad Ishaq Fairouz Tchier Hijaz Ahmad Zubair Ahmad Fuzzy-based maximum power point tracking (MPPT) control system for photovoltaic power generation system Results in Engineering DC converter Fuzzy logic controller MPPT Photovoltaic Renewable energy |
| title | Fuzzy-based maximum power point tracking (MPPT) control system for photovoltaic power generation system |
| title_full | Fuzzy-based maximum power point tracking (MPPT) control system for photovoltaic power generation system |
| title_fullStr | Fuzzy-based maximum power point tracking (MPPT) control system for photovoltaic power generation system |
| title_full_unstemmed | Fuzzy-based maximum power point tracking (MPPT) control system for photovoltaic power generation system |
| title_short | Fuzzy-based maximum power point tracking (MPPT) control system for photovoltaic power generation system |
| title_sort | fuzzy based maximum power point tracking mppt control system for photovoltaic power generation system |
| topic | DC converter Fuzzy logic controller MPPT Photovoltaic Renewable energy |
| url | http://www.sciencedirect.com/science/article/pii/S2590123023005935 |
| work_keys_str_mv | AT kifayatullah fuzzybasedmaximumpowerpointtrackingmpptcontrolsystemforphotovoltaicpowergenerationsystem AT muhammadishaq fuzzybasedmaximumpowerpointtrackingmpptcontrolsystemforphotovoltaicpowergenerationsystem AT fairouztchier fuzzybasedmaximumpowerpointtrackingmpptcontrolsystemforphotovoltaicpowergenerationsystem AT hijazahmad fuzzybasedmaximumpowerpointtrackingmpptcontrolsystemforphotovoltaicpowergenerationsystem AT zubairahmad fuzzybasedmaximumpowerpointtrackingmpptcontrolsystemforphotovoltaicpowergenerationsystem |