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Renewable Energy and Power Quality Journal
Article . 2024 . Peer-reviewed
Data sources: Crossref
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Wind Turbine Modeling, Maximum Power Point Tracking (MPPT), and Experimental Validation

Authors: Eben Zaid, Ichrak; Samuel Raj, Daison Stallon; Vidal Seguí, Yolanda; Boussada, Moez; Said Nouri, Ahmed;

Wind Turbine Modeling, Maximum Power Point Tracking (MPPT), and Experimental Validation

Abstract

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.

Country
Spain
Keywords

Aerogeneradors, SCADA data, 330, Matlab/Simulink, Àrees temàtiques de la UPC::Matemàtiques i estadística::Matemàtica aplicada a les ciències, Wind turbines, MPPT, Validation, Wind turbine modelling, Àrees temàtiques de la UPC::Energies::Energia eòlica::Aerogeneradors

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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1
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