Evaluating the Efficacy of Intelligent Methods for Maximum Power Point Tracking in Wind Energy Harvesting Systems

• Main Authors: Umar D.A., Alkawsi G., Jailani N.L.M., Alomari M.A., Baashar Y., Alkahtani A.A., Capretz L.F., Tiong S.K.
• Other Authors: 57218304981
• Format: Review
• Published: Multidisciplinary Digital Publishing Institute (MDPI) 2024
• Subjects: artificial intelligence; MPPT; wind energy harvesting system; Energy harvesting; Fuzzy inference; Fuzzy neural networks; Kinetic energy; Kinetics; Maximum power point trackers; Particle swarm optimization (PSO); Wind power; Wind turbines; Energy harvesting systems; Intelligent method; Maximum power point; Maximum Power Point Tracking; Maximum Power Point Tracking algorithms; Maximum power point tracking techniques; Performance; Tracking method; Wind energy harvesting; Wind energy harvesting system; Wind
• Institution: Universiti Tenaga Nasional

As wind energy is widely available, an increasing number of individuals, especially in off-grid rural areas, are adopting it as a dependable and sustainable energy source. The energy of the wind is harvested through a device known as a wind energy harvesting system (WEHS). These systems convert the...