Modelling and Comparative Analysis of Robust Fuzzy Controllers for LFC of an Islanded AC Microgrid

The innovative research work presented in this manuscript addresses different Fuzzy ruled based controllers as closed frequency stabilization loop of an energy efficiented stand alone Microgrid. The Microgrid model recommended for this investigation is single area based where several distributed generation (DG) featured power producing setups are assembled together. After assembling all DG s to a common platform, the established grid is known as the microgrid. The term microgrid comes from the micro-MW generating capability of the this grid by combining all capacity of all connected individual DGs. The DGs like wind electricity plant, Solar photovoltaic (PV) electricity generating system, micro-tubine, Fuel-cell, Geo-thermal, diesel-generator and thermo-electric generation system. The microgrid is also incorporated with energetic power accumulating banks like battery bank, Super-capacitor (ultra-capacitors) and flywheel system. The microgrid faces frequency instability problem when load dynamics and wind, solar power uncertainties come to the picture. The LFC makes an accurate control strategy to build quick stability over frequency dynamic. The LFC employs several fuzzy ruled controller such as conventional Fuzzy-PID (F-PID), Fractional ordered Fuzzy-PID (FO-FPID), Multi-stage Fuzzy PID (MS-FPID) and an ideal Type-2 Fuzzy PID (T2-FPID) controllers as secondary control loop for this study. The performance of all above discussed controllers are synthesized in an unique Vortex Search algorithm (VSA).

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Publication Details

Published
2025-02-21
DOI
https://doi.org/10.1109/icidea64800.2025.10963137
Citations
4
Primary Topic
Frequency Control in Power Systems
Type
article
Field-Weighted Citation Impact
2.92
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article

Modelling and Comparative Analysis of Robust Fuzzy Controllers for LFC of an Islanded AC Microgrid

Prakash Chandra Sahu, Sunil Kumar Bhatta, Sarat Chandra Swain, Amiya Kumar Sahoo et al.
4 citations
Frequency Control in Power Systems
2.92
article

Modelling and Comparative Analysis of Robust Fuzzy Controllers for LFC of an Islanded AC Microgrid

Prakash Chandra Sahu, Sunil Kumar Bhatta, Sarat Chandra Swain, Amiya Kumar Sahoo, Buddhadeva Sahoo
article en
4 citations

Abstract

The innovative research work presented in this manuscript addresses different Fuzzy ruled based controllers as closed frequency stabilization loop of an energy efficiented stand alone Microgrid. The Microgrid model recommended for this investigation is single area based where several distributed generation (DG) featured power producing setups are assembled together. After assembling all DG s to a common platform, the established grid is known as the microgrid. The term microgrid comes from the micro-MW generating capability of the this grid by combining all capacity of all connected individual DGs. The DGs like wind electricity plant, Solar photovoltaic (PV) electricity generating system, micro-tubine, Fuel-cell, Geo-thermal, diesel-generator and thermo-electric generation system. The microgrid is also incorporated with energetic power accumulating banks like battery bank, Super-capacitor (ultra-capacitors) and flywheel system. The microgrid faces frequency instability problem when load dynamics and wind, solar power uncertainties come to the picture. The LFC makes an accurate control strategy to build quick stability over frequency dynamic. The LFC employs several fuzzy ruled controller such as conventional Fuzzy-PID (F-PID), Fractional ordered Fuzzy-PID (FO-FPID), Multi-stage Fuzzy PID (MS-FPID) and an ideal Type-2 Fuzzy PID (T2-FPID) controllers as secondary control loop for this study. The performance of all above discussed controllers are synthesized in an unique Vortex Search algorithm (VSA).

KIIT University (IN), Indian Institute of Technology Bhubaneswar (IN)
Life below water
Openalex Percentile: Top 9%
Frequency Control in Power Systems
2.92
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Modelling and Comparative Analysis of Robust Fuzzy Controllers for LFC of an Islanded AC Microgrid — Prakash Chandra Sahu, Sunil Kumar Bhatta, et al. · (2025) | TGRS Research Map | TGRS