Design and Performance Analysis of Fuzzy Logic Controller for Solar Photovoltaic System
This study presents a Fuzzy Logic Controller (FLC)-based Maximum Power Point Tracking (MPPT) system for solar Photovoltaic (PV) setups, integrating PV panels, a boost converter, and battery storage. While FLC is known for its robustness in PV systems, challenges in battery charging and discharging e...
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| Format: | Article |
| Language: | English |
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Iran University of Science and Technology
2025-06-01
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| Series: | Iranian Journal of Electrical and Electronic Engineering |
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| Online Access: | http://ijeee.iust.ac.ir/article-1-3657-en.pdf |
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| author | Kumuthawathe Ananda-Rao Steven Taniselass Afifah Shuhada Rosmi Aimi Salihah Abdul Nasir Nor Hanisah Baharudin Indra Nisja |
| author_facet | Kumuthawathe Ananda-Rao Steven Taniselass Afifah Shuhada Rosmi Aimi Salihah Abdul Nasir Nor Hanisah Baharudin Indra Nisja |
| author_sort | Kumuthawathe Ananda-Rao |
| collection | DOAJ |
| description | This study presents a Fuzzy Logic Controller (FLC)-based Maximum Power Point Tracking (MPPT) system for solar Photovoltaic (PV) setups, integrating PV panels, a boost converter, and battery storage. While FLC is known for its robustness in PV systems, challenges in battery charging and discharging efficiency can affect performance. The research addresses these challenges by optimizing battery charging, preventing overcharging, and enhancing overall system efficiency. The FLC MPPT system is designed to regulate the battery's State of Charge (SOC) while evaluating system performance under varying solar irradiance and temperature conditions. The system is modeled and simulated using MATLAB/Simulink, incorporating the PV system, MPPT algorithm, and models for the PV module and boost converter. System efficiency is assessed under different scenarios, with results showing 97.92% efficiency under Standard Test Conditions (STC) at 1000 W/m² and 25°C. Additionally, mean efficiencies of 97.13% and 96.13% are observed under varying irradiance and temperature, demonstrating the effectiveness of the FLC MPPT in regulating output. The system also extends battery life by optimizing power transfer between the PV module, boost converter, and battery, ensuring regulated SOC. |
| format | Article |
| id | doaj-art-d283b76c4fc84ec69d9e20e67e25148d |
| institution | OA Journals |
| issn | 1735-2827 2383-3890 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Iran University of Science and Technology |
| record_format | Article |
| series | Iranian Journal of Electrical and Electronic Engineering |
| spelling | doaj-art-d283b76c4fc84ec69d9e20e67e25148d2025-08-20T02:07:06ZengIran University of Science and TechnologyIranian Journal of Electrical and Electronic Engineering1735-28272383-38902025-06-0121236573657Design and Performance Analysis of Fuzzy Logic Controller for Solar Photovoltaic SystemKumuthawathe Ananda-Rao0Steven Taniselass1Afifah Shuhada Rosmi2Aimi Salihah Abdul Nasir3Nor Hanisah Baharudin4Indra Nisja5 Faculty of Electrical Engineering & Technology, University Malaysia Perlis (UniMAP), 02600 Arau, Perlis, Malaysia. Faculty of Electronic Engineering & Technology, University Malaysia Perlis (UniMAP), 02600 Arau, Perlis, Malaysia. Faculty of Electrical Engineering & Technology, University Malaysia Perlis (UniMAP), 02600 Arau, Perlis, Malaysia. Faculty of Electrical Engineering & Technology, University Malaysia Perlis (UniMAP), 02600 Arau, Perlis, Malaysia. Faculty of Electrical Engineering & Technology, University Malaysia Perlis (UniMAP), 02600 Arau, Perlis, Malaysia. Department of Electrical Engineering, Faculty of Industrial Technology, Bung Hatta University, Padang, West Sumatera, Indonesia. This study presents a Fuzzy Logic Controller (FLC)-based Maximum Power Point Tracking (MPPT) system for solar Photovoltaic (PV) setups, integrating PV panels, a boost converter, and battery storage. While FLC is known for its robustness in PV systems, challenges in battery charging and discharging efficiency can affect performance. The research addresses these challenges by optimizing battery charging, preventing overcharging, and enhancing overall system efficiency. The FLC MPPT system is designed to regulate the battery's State of Charge (SOC) while evaluating system performance under varying solar irradiance and temperature conditions. The system is modeled and simulated using MATLAB/Simulink, incorporating the PV system, MPPT algorithm, and models for the PV module and boost converter. System efficiency is assessed under different scenarios, with results showing 97.92% efficiency under Standard Test Conditions (STC) at 1000 W/m² and 25°C. Additionally, mean efficiencies of 97.13% and 96.13% are observed under varying irradiance and temperature, demonstrating the effectiveness of the FLC MPPT in regulating output. The system also extends battery life by optimizing power transfer between the PV module, boost converter, and battery, ensuring regulated SOC.http://ijeee.iust.ac.ir/article-1-3657-en.pdfbatteryfuzzy logic controller (flc)matlab/simulinkmaximum power point tracking (mppt)solar photovoltaic (pv). |
| spellingShingle | Kumuthawathe Ananda-Rao Steven Taniselass Afifah Shuhada Rosmi Aimi Salihah Abdul Nasir Nor Hanisah Baharudin Indra Nisja Design and Performance Analysis of Fuzzy Logic Controller for Solar Photovoltaic System Iranian Journal of Electrical and Electronic Engineering battery fuzzy logic controller (flc) matlab/simulink maximum power point tracking (mppt) solar photovoltaic (pv). |
| title | Design and Performance Analysis of Fuzzy Logic Controller for Solar Photovoltaic System |
| title_full | Design and Performance Analysis of Fuzzy Logic Controller for Solar Photovoltaic System |
| title_fullStr | Design and Performance Analysis of Fuzzy Logic Controller for Solar Photovoltaic System |
| title_full_unstemmed | Design and Performance Analysis of Fuzzy Logic Controller for Solar Photovoltaic System |
| title_short | Design and Performance Analysis of Fuzzy Logic Controller for Solar Photovoltaic System |
| title_sort | design and performance analysis of fuzzy logic controller for solar photovoltaic system |
| topic | battery fuzzy logic controller (flc) matlab/simulink maximum power point tracking (mppt) solar photovoltaic (pv). |
| url | http://ijeee.iust.ac.ir/article-1-3657-en.pdf |
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