Please use this identifier to cite or link to this item:
http://hdl.handle.net/2080/5245
Title: | Design and Implementation of Fuzzy Logic Control Strategy for PV-Battery Microgrid |
Authors: | Purohit, Pranati Rani Ghosh, Arnab Ray, Pravat Kumar |
Keywords: | Bidirectional converter MPPT Voltage controller Current controller |
Issue Date: | Jul-2025 |
Citation: | IEEE North-East India International Energy Conversion Conference and Exhibition (NE-IECCE), NIT Silchar, 4-6 July 2025 |
Abstract: | To address the needs of isolated off-grid DC loads, an effective energy management approach is required for a microgrid integrated with renewable energy sources. This research presents a voltage and current controller strategy based on fuzzy logic for a battery storage system integrated with a photovoltaic (PV) system, aiming to enhance energy management. The battery's power flow is controlled via a bidirectional buck-boost converter through a fuzzy logic controller. Energy management based on fuzzy logic is proposed, utilizing only three membership functions for the voltage and current control technique. Optimizing the duty cycle of a DC-DC boost converter is the key to achieving maximum power point tracking (MPPT) using the Perturb and Observe (P&O) method. Using a changing PV irradiation profile, the energy management system is substantiated in a MATLAB model. |
Description: | Copyright belongs to the proceeding publisher. |
URI: | http://hdl.handle.net/2080/5245 |
Appears in Collections: | Conference Papers |
Files in This Item:
File | Description | Size | Format | |
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2025_NEIECCE_PRPurohit_Design.pdf | 554.48 kB | Adobe PDF | View/Open Request a copy |
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