Enhancing grid connected wind energy conversion systems through fuzzy logic control optimization with PSO and GA techniques

Enhancing grid connected wind energy conversion systems through fuzzy logic control optimization with PSO and GA techniques

Abstract This paper presents the design and simulation of an optimized fuzzy logic Maximum Power Point Tracking (MPPT) controller for grid-tied wind turbines, utilizing Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). Four distinct methodologies are explored to determine the most suitab...

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Bibliographic Details
Main Authors: Abdelhalim Borni, Noureddine Bessous, Layachi Zaghba, Abdelhak Bouchakour, Melkamu Sisay Agmas, Enas Ali, Sherif S. M. Ghoneim, Ayman Hoballah
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Wind energy conversion system
Grid
FLC
Membership function
GA
P&O
Online Access:https://doi.org/10.1038/s41598-025-12593-4
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https://doi.org/10.1038/s41598-025-12593-4

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