Hybrid Energy Storage System for Voltage Stability in DC Microgrid using Fuzzy Logic Controller

Authors

  • M.Paramesh Department of Electrical and Electronics Engineering, GATES Institute of Technology, Gooty, India,515401
  • G. Madhu Mohan Department of Electrical and Electronics Engineering, GATES Institute of Technology, Gooty, India,515401
  • Sirasala Kusuma Department of Electrical and Electronics Engineering, GATES Institute of Technology, Gooty, India,515401
  • Tariboyena Gowthami Department of Electrical and Electronics Engineering, GATES Institute of Technology, Gooty, India,515401
  • Duddugolu Rajesh Department of Electrical and Electronics Engineering, GATES Institute of Technology, Gooty, India,515401

Keywords:

Hybrid Energy Storage System , DC Microgrid, Fuzzy Logic Controller, Voltage Stability, Battery Management, Renewable Energy Integration, Power Sharing Strategy

Abstract

This paper presents a comprehensive Hybrid Energy Storage System (HESS) integrating lithium iron phosphate (LFP) batteries and supercapacitors (SC), governed by a 49-rule Mamdani Fuzzy Logic Controller (FLC), to enhance voltage stability in a 48V DC microgrid. Intermittent generation from solar PV and wind sources causes bus voltage deviations that degrade load performance and shorten storage life. The HESS exploits the high energy density of batteries for sustained power delivery and the high power density of supercapacitors for transient compensation. The FLC dynamically allocates power without requiring an exact plant model. MATLAB/Simulink validation under three disturbance scenarios confirms voltage regulation within ±1.2%, battery peak current reduction of 38%, and a 2.6× improvement in estimated battery cycle life over single-battery ESS. The FLC-HESS outperforms conventional PI-based configurations across all evaluated metrics including transient response, steady-state error, and storage component longevity.

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Published

2025-09-30

How to Cite

Hybrid Energy Storage System for Voltage Stability in DC Microgrid using Fuzzy Logic Controller. (2025). Erudite Journal of Engineering, Technology and Management Sciences, 5(3), 12-16. https://ejetms.com/index.php/ejetms/article/view/101

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