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

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