Wind turbine modeling, maximum power point tracking (MPPT), and experimental validation

The research presented is driven by the global increase in wind power capacity and the commitment of the scientific community to facilitate its integration into electrical grids. The focus of this study is the modeling of a wind turbine system, beginning with its mechanical components. To ensure the...

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Detalles Bibliográficos
Autores: Eben Zaid, Ichrak, Samuel Raj, Daison Stallon|||0000-0002-1339-6919, Vidal Seguí, Yolanda|||0000-0003-4964-6948, Boussada, Moez, Said Nouri, Ahmed
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/415420
Acceso en línea:https://hdl.handle.net/2117/415420
https://dx.doi.org/10.52152/3923
Access Level:acceso abierto
Palabra clave:Wind turbines
Wind turbine modelling
Matlab/Simulink
MPPT
SCADA data
Validation
Aerogeneradors
Àrees temàtiques de la UPC::Energies::Energia eòlica::Aerogeneradors
Descripción
Sumario:The research presented is driven by the global increase in wind power capacity and the commitment of the scientific community to facilitate its integration into electrical grids. The focus of this study is the modeling of a wind turbine system, beginning with its mechanical components. To ensure the production of power at optimal levels, a control strategy for Maximum Power Point Tracking (MPPT) based on Optimal Torque (OT) has been adopted. The model and control method, developed in Matlab/Simulink, have demonstrated their precision and efficacy through experimental verification using SCADA data acquired from an operational wind turbine.