Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/5245
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dc.contributor.authorPurohit, Pranati Rani-
dc.contributor.authorGhosh, Arnab-
dc.contributor.authorRay, Pravat Kumar-
dc.date.accessioned2025-07-24T06:27:51Z-
dc.date.available2025-07-24T06:27:51Z-
dc.date.issued2025-07-
dc.identifier.citationIEEE North-East India International Energy Conversion Conference and Exhibition (NE-IECCE), NIT Silchar, 4-6 July 2025en_US
dc.identifier.urihttp://hdl.handle.net/2080/5245-
dc.descriptionCopyright belongs to the proceeding publisher.en_US
dc.description.abstractTo 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.en_US
dc.subjectBidirectional converteren_US
dc.subjectMPPTen_US
dc.subjectVoltage controlleren_US
dc.subjectCurrent controlleren_US
dc.titleDesign and Implementation of Fuzzy Logic Control Strategy for PV-Battery Microgriden_US
dc.typeArticleen_US
Appears in Collections:Conference Papers

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