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Intelligent Control and Optimal Energy Supervision for On-Grid Hybrid Renewable Generation with Flywheel Energy Storage Cover

Intelligent Control and Optimal Energy Supervision for On-Grid Hybrid Renewable Generation with Flywheel Energy Storage

Open Access
|Dec 2025

Abstract

This research introduces an innovative on-grid hybrid renewable generation (OG-HRG) system characterised by its distinctive combination of three technologies: solar photovoltaic (PV), gearless permanent magnet synchronous generator (PMSG)-based wind turbines (WTs) and a flywheel energy storage system (FESS). The particularity of this system lies in its advanced incorporation of a multi-layered control approach, which merges the adaptability of fuzzy logic control (FLC), the accuracy of proportional-integral-derivative (PID) control and the resilience of sliding mode control (SMC) into a unified energy management system (EMS). This design has been specifically developed to address intermittency and maintain grid stability. Simulation outcomes validate its effectiveness, showcasing 92.3% renewable energy utilisation, minimal frequency fluctuations (±0.8%) and an 85% decrease in CO2 emissions. This study offers a new framework for achieving high-efficiency and stable integration of renewable energy sources.

DOI: https://doi.org/10.2478/pead-2025-0027 | Journal eISSN: 2543-4292 | Journal ISSN: 2451-0262
Language: English
Page range: 467 - 486
Submitted on: Aug 6, 2025
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Accepted on: Oct 21, 2025
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Published on: Dec 31, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2025 Rym Marouani, Marwen Zaafouri, Nejib Hamrouni, Adnane Cherif, published by Wroclaw University of Science and Technology
This work is licensed under the Creative Commons Attribution 4.0 License.