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...
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Published in | Results in engineering Vol. 20; p. 101466 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.12.2023
Elsevier |
Subjects | |
Online Access | Get full text |
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Summary: | 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.
•The improvement of performance of MPPT for a photovoltaic power system is focused.•The simulation model is designed in MATLAB/Simulink software.•Based on two input variables, an output variable is generated through fuzzy rules in MATLAB.•The results shows that the system efficiency increase to 97%.•The proposed method efficiently tracks MPP.•Ireduces the fluctuation in output power, and improves the system efficiency. |
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ISSN: | 2590-1230 2590-1230 |
DOI: | 10.1016/j.rineng.2023.101466 |