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Soft computing applications in wind power systems: a review and analysis
School of Technology and Design, Växjö University, SE-35195, Växjö, Sweden.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Product and Production Development.
2009 (English)Conference paper, Oral presentation only (Other academic)
Abstract [en]

This paper reviews, analyses, discusses and summarises the recent research and development and trends in the applications of soft computing in the field of wind power systems. We show the usage and the influence of soft computing on the different aspects of wind power systems especially in the field of operation and maintenance. This work provides the state of the art in this area which will be a good guidance for future research work. The main results achieved from the study show that the soft computing techniques are adequate for solving the different challenges at the different phases of the life cycle processes of wind power systems. Using the various soft computing techniques with wind power systems proved to be useful for the wind energy business. Using these tools contribute by improving the robustness of the decisions at different phases of the system's life cycle. Soft computing can enhance the efficiency and effectiveness of the operation and maintenance of offshore wind power systems through improving the availability levels. Thus, providing secure, sustainable and competitive energy supply for the future.

Place, publisher, year, edition, pages
2009.
Keywords [en]
Offshore Farms, Wind Power Systems, Condition Monitoring, Soft Computing, Intelligent Maintenance Systems, Neural Network, Artificial Intelligence
National Category
Other Mechanical Engineering
Research subject
Computer Aided Design
Identifiers
URN: urn:nbn:se:ltu:diva-34575Local ID: 8ceff5b0-af34-11de-8293-000ea68e967bOAI: oai:DiVA.org:ltu-34575DiVA, id: diva2:1007826
Conference
European Offshore Wind 2009 Conference and Exhibition : 14/09/2009 - 16/09/2009
Note

Godkänd; 2009; 20091002 (ahmalz)

Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2022-10-20Bibliographically approved

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fulltext(140 kB)264 downloads
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Type fulltextMimetype application/pdf

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Alzghoul, Ahmad

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CiteExportLink to record
Permanent link

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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