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Maximum power point tracking dataset for a wind energy conversion system based on a reverse-controller for a multilevel boost converter

The database here contains experimental data relevant to an original maximum power point tracking controller for an experimental direct-drive full-variable-speed full-rated converter Type IV Wind Energy Conversion System in standalone operation. The main goal is to maximize power extraction by contr...

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Autores principales: González-Hernández, José Genaro, Salas-Cabrera, Rubén, Vázquez-Bautista, Roberto, Ong-de-la-Cruz, Luis Manuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8842028/
https://www.ncbi.nlm.nih.gov/pubmed/35198679
http://dx.doi.org/10.1016/j.dib.2022.107900
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author González-Hernández, José Genaro
Salas-Cabrera, Rubén
Vázquez-Bautista, Roberto
Ong-de-la-Cruz, Luis Manuel
author_facet González-Hernández, José Genaro
Salas-Cabrera, Rubén
Vázquez-Bautista, Roberto
Ong-de-la-Cruz, Luis Manuel
author_sort González-Hernández, José Genaro
collection PubMed
description The database here contains experimental data relevant to an original maximum power point tracking controller for an experimental direct-drive full-variable-speed full-rated converter Type IV Wind Energy Conversion System in standalone operation. The main goal is to maximize power extraction by controlling the duty cycle of a multilevel boost converter, which is responsible for adjusting the angular speed of a permanent magnet synchronous generator coupled to a three-phase induction motor that emulates the wind turbine. Two data acquisition cards with the appropriate signal conditioners were used to obtain measurements of the generator angular speed, output current, and output voltage at the terminals of the multilevel converter. In addition, data related to power coefficient, tip speed ratio, duty cycle, and output power are also included. Two PCs in a Linux real-time platform were used for the emulation, control, and data collection processes. On the other hand, Matlab was used to analyze the data to evaluate the controller's performance to maximize wind power extraction. The database is freely accessible at http://dx.doi.org/10.17632/363d24mcb6.2. This dataset [1] represents a resource for wind power specialists who develop algorithms for wind energy optimization.
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spelling pubmed-88420282022-02-22 Maximum power point tracking dataset for a wind energy conversion system based on a reverse-controller for a multilevel boost converter González-Hernández, José Genaro Salas-Cabrera, Rubén Vázquez-Bautista, Roberto Ong-de-la-Cruz, Luis Manuel Data Brief Data Article The database here contains experimental data relevant to an original maximum power point tracking controller for an experimental direct-drive full-variable-speed full-rated converter Type IV Wind Energy Conversion System in standalone operation. The main goal is to maximize power extraction by controlling the duty cycle of a multilevel boost converter, which is responsible for adjusting the angular speed of a permanent magnet synchronous generator coupled to a three-phase induction motor that emulates the wind turbine. Two data acquisition cards with the appropriate signal conditioners were used to obtain measurements of the generator angular speed, output current, and output voltage at the terminals of the multilevel converter. In addition, data related to power coefficient, tip speed ratio, duty cycle, and output power are also included. Two PCs in a Linux real-time platform were used for the emulation, control, and data collection processes. On the other hand, Matlab was used to analyze the data to evaluate the controller's performance to maximize wind power extraction. The database is freely accessible at http://dx.doi.org/10.17632/363d24mcb6.2. This dataset [1] represents a resource for wind power specialists who develop algorithms for wind energy optimization. Elsevier 2022-02-02 /pmc/articles/PMC8842028/ /pubmed/35198679 http://dx.doi.org/10.1016/j.dib.2022.107900 Text en © 2022 The Author(s). Published by Elsevier Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
González-Hernández, José Genaro
Salas-Cabrera, Rubén
Vázquez-Bautista, Roberto
Ong-de-la-Cruz, Luis Manuel
Maximum power point tracking dataset for a wind energy conversion system based on a reverse-controller for a multilevel boost converter
title Maximum power point tracking dataset for a wind energy conversion system based on a reverse-controller for a multilevel boost converter
title_full Maximum power point tracking dataset for a wind energy conversion system based on a reverse-controller for a multilevel boost converter
title_fullStr Maximum power point tracking dataset for a wind energy conversion system based on a reverse-controller for a multilevel boost converter
title_full_unstemmed Maximum power point tracking dataset for a wind energy conversion system based on a reverse-controller for a multilevel boost converter
title_short Maximum power point tracking dataset for a wind energy conversion system based on a reverse-controller for a multilevel boost converter
title_sort maximum power point tracking dataset for a wind energy conversion system based on a reverse-controller for a multilevel boost converter
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8842028/
https://www.ncbi.nlm.nih.gov/pubmed/35198679
http://dx.doi.org/10.1016/j.dib.2022.107900
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