Work

Enhancing the Performance of Hybrid Microgrids through Turbulent Flow-Based Optimization

Year: 2025

Type: conference-paper

Abstract: This paper presents the Enhanced Turbulent Flow of Water-Based Optimization (ETFWO), a novel algorithm designed to enhance energy management in hybrid microgrids. With the increasing global demand for energy and the pressing need to reduce greenhouse gas emissions, hybrid microgrids that integrate renewable energy sources such as solar photovoltaic (PV) and wind power with conventional generators are becoming increasingly vital. The ETFWO algorithm utilizes the chaotic dynamics of turbulent flow to optimize real-time energy production, storage, and consumption, effectively addressing the challenges posed by the intermittent nature of renewable energy sources.

Source: International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)

DOI: 10.1109/iraset64571.2025.11008157

Authors: Doha El Hafiane, Abdelmounime El Magri, Rachid Lajouad

Institution: University of Hassan II Casablanca

Language: English

Topic: Microgrid Control and Optimization

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure, Climate action

Open Access status: gold

OpenAlex ID: W4410738315

FWCI: 2.324

Cites: 22

Cited by: 1

Related to: 10