Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Modeling of wind turbine based on Gaussian processes
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems. University of Information Technology and Communications, College of Engineering, Baghdad, Iraq.ORCID iD: 0000-0002-6894-7896
2022 (English)In: Journal of Engineering Science and Technology, ISSN 1823-4690, Vol. 17, no 5, p. 3187-3202Article in journal (Refereed) Published
Abstract [en]

This paper proposes a realistic principal Gaussian Process model for the wind turbine, with a kernel derived. The model is trained and validated on a data-driven practical wind turbine model to predict optimal operational curves for the optimal operating conditions of wind turbine generators. The proposed technique indicates the critical parameters of the wind behaviour from historical wind speed data to keep maximum power. This technique is used to avoid periodic fluctuations in the output power of the wind turbine generators by design an efficient control system. The frequent changes in the power output come from tower shadow, wind shear, gust, and turbulence in the wind speed. The operational curves of the critical parameters included the profiles of power, blades pitch angle, and turbine rotor speed. The power improvement performance of the turbine can use the relationship between critical parameters ahead of time to predict wind behaviour.

Place, publisher, year, edition, pages
Taylor’s University , 2022. Vol. 17, no 5, p. 3187-3202
Keywords [en]
Blade pitch angle, Gaussian process, Tower Shadow, Wind shear, Wind turbine generator
National Category
Energy Engineering
Research subject
Automatic Control
Identifiers
URN: urn:nbn:se:ltu:diva-94730Scopus ID: 2-s2.0-85141694767OAI: oai:DiVA.org:ltu-94730DiVA, id: diva2:1718343
Note

Godkänd;2022;Nivå 0;2022-12-12 (hanlid)

Available from: 2022-12-12 Created: 2022-12-12 Last updated: 2022-12-12Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

ScopusPublisher's full text

Authority records

Nayl, Thaker

Search in DiVA

By author/editor
Nayl, Thaker
By organisation
Signals and Systems
In the same journal
Journal of Engineering Science and Technology
Energy Engineering

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 85 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf