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http://dspace.aiub.edu:8080/jspui/handle/123456789/2944| Title: | Fuzzy Logic-Based Grid-Interactive Photovoltaic System Design, Simulation, and Implementation |
| Authors: | Rahman, Ashikur Roky, Md. Sakilur Rahman Rokon, Md. Abu Rubayat Miah, Md. Nasim Kabbyo, Habib A Hasan Bhuyan, Muhibul Haque |
| Keywords: | Feeds Circuits Filtering Filters Light Emitting Diodes Oscillators Circuits and Systems Microcontrollers Diodes Voltage Multipliers Fuzzy Logic Grid-Interactive |
| Issue Date: | 19-Dec-2025 |
| Publisher: | IEEE |
| Citation: | A. Rahman, M. S. R. Roky, M. A. R. Rokon, M. N. Miah, M. H. A. H. Kabbyo, and M. H. Bhuyan, “Fuzzy Logic-Based Grid-Interactive Photovoltaic System Design, Simulation, and Implementation,” Proceedings of the 28th IEEE International Conference on Computing and Information Technology (ICCIT), Long Beach Hotel, Cox’s Bazar, Bangladesh, 19-21 December 2025, pp. 580-585. Published on 7 May 2026. DOI: https://doi.org/10.1109/ICCIT68739.2025.11489536. |
| Series/Report no.: | 28; |
| Abstract: | This paper aims to demonstrate a system with design, simulation, and execution of a fuzzy-logic-based control approach for a three-phase grid-connected photovoltaic (PV) system. The system incorporates a three-level voltage source inverter (VSI) with a transformer less topology and a DC-DC boost converter to enhance efficiency. A fuzzy logic controller (FLC) is used to regulate inverter voltage and Maximum Power Point Tracking (MPPT). The model was designed and evaluated using MATLAB/Simulink. By analyzing the simulation results, a three-phase output of 204.12 V synchronized with the grid at 50 Hz, achieving a high-power factor (PF) of near unity, low total harmonic distortion (THD) of <5%, and an efficiency of 98.3 % were found. This work confirms the ability of fuzzy logic-based control in enhancing power supply operation and guaranteeing a secure PV network. |
| URI: | http://dspace.aiub.edu:8080/jspui/handle/123456789/2944 |
| Appears in Collections: | Publications From Faculty of Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Draft_DSpace_Publication_Info_Upload_FE_Prof Muhibul ICCIT 2025 Fuzzy Logic Grid-Interactive PV System.docx | 3.33 MB | Microsoft Word XML | View/Open |
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