en Fuzzy Systems Fuzzy Systems Only For Articles of ELECRiS 2024 Only For Articles of ELECRiS 2024 <div style="text-align: justify;"><span style="font-size:10.0pt"><span new="" roman="" style="font-family:" times="">In islanded microgrids, circulating currents among parallel inverters pose significant challenges to system stability and efficient power distribution. Traditional droop control methods often struggle to manage these currents effectively, leading to inefficiencies and potential system damage. This study introduces an advanced fuzzy-robust droop control strategy that integrates fuzzy logic with robust droop control to address these challenges. By incorporating fuzzy logic, the proposed strategy enhances the adaptability of droop control to varying system conditions, improving the management of circulating currents and ensuring more accurate power sharing among inverters. Comprehensive mathematical modeling and extensive simulation analyses validate the performance of this control strategy. The results show that the fuzzy-robust droop control method significantly outperforms conventional approaches, achieving up to a 70% reduction in circulating currents. This improvement leads to a substantial reduction in power losses and enhances the dynamic response under varying load conditions. Additionally, the strategy improves voltage and frequency regulation, contributing to the overall stability and reliability of the microgrid. The findings provide a robust solution to the longstanding issue of circulating currents, optimizing microgrid operations, and paving the way for more efficient and resilient distributed energy systems. The advanced control strategy presented in this study not only addresses critical challenges but also demonstrates the potential for innovative methodologies to meet the growing demands of future energy infrastructures, where reliability and efficiency are essential.</span></span></div> Circulating current, Fuzzy-Robust control, islanded microgrid, power-sharing, fuzzy logic, robust droop 154 162 http://ijeee.iust.ac.ir/browse.php?a_code=A-10-5511-1&slc_lang=en&sid=1 Nurul Husna Abd Wahab husnawahab@unimap.edu.my 1800319475328460016517 1800319475328460016517 Yes Faculty of Electrical Engineering & Technology, Universiti Malaysia Perlis (UniMAP), 02600 Arau, Perlis, Malaysia. Mohd Hafizuddin Mat hafizuddinmat@unimap.edu.my 1800319475328460016518 1800319475328460016518 No Faculty of Electronic Engineering & Technology Advanced Communication Engineering Centre of Excellence, Universiti Malaysia Perlis, Perlis, Malaysia. Norezmi Md Jamal norezmi@uthm.edu.my 1800319475328460016519 1800319475328460016519 No Department of Electrical Engineering Technology, Faculty of Engineering Technology, Universiti Tun Hussein Onn Malaysia (UTHM), Malaysia. Nur Hidayah Ramli hidayahramli@unimap.edu.my 1800319475328460016520 1800319475328460016520 No Faculty of Electronic Engineering & Technology Advanced Communication Engineering Centre of Excellence, Universiti Malaysia Perlis, Perlis, Malaysia.