UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 12 Issue 9
September-2025
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2509381


Registration ID:
569425

Page Number

d607-d616

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Title

Modelling and Performance Analysis of Hybrid Energy System using Fuzzy Logic for Domestic appliances

Abstract

: Power Generation Systems use green energy sources such as Solar Energy Systems (SES), Wind Energy Systems (WES), and Fossil Fuels to address conversion efficiency challenges. To improve efficiency, DC-DC converters like SEPIC, Buck-Boost, and CUK are used, with SEPIC being the most effective in Hybrid Systems, addressing issues in Buck-Boost converters. An MPPT controller maximizes power extraction and Fuzzy Logic enhances MPPT performance by adapting to rapid input changes. The Hybrid System integrates Solar PV and Wind Energy Conversion Systems using Fuzzy Logic-based SEPIC converters to regulate the output and ensure a stable DC supply. The Simulink model developed demonstrates a Fuzzy Logic-based MPPT controller applied to a SEPIC converter connected to a PV and Wind Energy Conversion System. In this model, real-time voltage and current measurements are used to calculate power, and the Fuzzy Controller adjusts the duty cycle to keep the system operating at the Maximum Power Point. The model was tested under different irradiance conditions to verify stable tracking. This paper focuses on designing and analyzing a Fuzzy Logic-based solar-wind hybrid system with Battery backup to support AC and DC Loads, ensuring an Uninterrupted Power Supply. A Wind Energy Source with a PMSG and rectifier can be added to the same DC bus using the same Fuzzy Logic MPPT method. Overall, the Simulink model demonstrated improved power tracking and supported the integration of hybrid PV-Wind systems.

Key Words

Hybrid Energy System, Fuzzy Logic, MPPT, SEPIC Converter, Renewable Energy, Battery Storage.

Cite This Article

"Modelling and Performance Analysis of Hybrid Energy System using Fuzzy Logic for Domestic appliances", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 9, page no.d607-d616, September-2025, Available :http://www.jetir.org/papers/JETIR2509381.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Modelling and Performance Analysis of Hybrid Energy System using Fuzzy Logic for Domestic appliances", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 9, page no. ppd607-d616, September-2025, Available at : http://www.jetir.org/papers/JETIR2509381.pdf

Publication Details

Published Paper ID: JETIR2509381
Registration ID: 569425
Published In: Volume 12 | Issue 9 | Year September-2025
DOI (Digital Object Identifier):
Page No: d607-d616
Country: Hyderabad, Telangana, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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