Advanced Fuzzy Logic for Enhanced Energy Management and MPPT in High-Performance Hybrid Renewable Microgrids

Elnaggar, Mohaned and Alrashed, Mohammed M. (2025) Advanced Fuzzy Logic for Enhanced Energy Management and MPPT in High-Performance Hybrid Renewable Microgrids. International Journal of Robotics and Control Systems, 5 (6). pp. 2853-2872. ISSN 2775-2658

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Abstract

Renewable sources such as PV and WE are increasingly integrated into MGs, which rely on efficient EMSs and MPPT techniques for stable operation. This paper proposes an FLC-MPPT integrated within an EMS for a hybrid clean energy system comprising PV, WE, FC, battery, and EV units. The system architecture is modeled and simulated in MATLAB/Simulink, with the FLC regulating power flow and maintaining DC bus stability through coordinated converter control. The proposed approach is compared with the conventional P&O algorithm under varying irradiance, shading, and load conditions. Simulation results show that the FLC-MPPT consistently achieves higher efficiency (up to 99.99%), faster response times (as low as 0.003 s), and significantly lower power losses (reduced from 6.975 W to 1 W at 1000 W/m²). During dynamic scenarios, including partial shading and a 50% load increase, the FLC maintains a stable DC voltage (275 V) with rapid recovery times of 9–13 s. Furthermore, THD remains below 1.52% across all operating conditions, indicating high power quality. Overall, the proposed FLC-based EMS enhances hydrogen utilization, system efficiency, and stability, demonstrating superior adaptability and precision over conventional methods for clean and reliable energy management in hybrid MG applications.

Item Type: Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Depositing User: IJRCS ASCEE
Date Deposited: 29 Apr 2026 06:30
Last Modified: 10 Sep 2026 01:38
URI: https://science-eprint.org/id/eprint/207

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