![](/images/graphics-bg.png)
Wind Turbine Clustering Algorithm of Large Offshore Wind Farms considering Wake Effects
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-09-09
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
This paper proposed the SVD (singular value decomposition) clustering algorithm to cluster wind turbines into some group for a large offshore wind farm, in order to reduce the high-dimensional problem in wind farm power control and numerical simulation.
Firstly, wind farm wake relationship matrixes are established considering the wake effect in an offshore wind farm, and the SVD of wake relationship matrixes is used to cluster wind turbines into some groups by the fuzzy clustering algorithm.
At last, the Horns Rev offshore wind farm is analyzed to test the clustering algorithm, and the clustering result and the power simulation show the effectiveness and feasibility of the proposed clustering strategy.
American Psychological Association (APA)
Zhang, Binbin& Liu, Jun. 2019. Wind Turbine Clustering Algorithm of Large Offshore Wind Farms considering Wake Effects. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-7.
https://search.emarefa.net/detail/BIM-1196706
Modern Language Association (MLA)
Zhang, Binbin& Liu, Jun. Wind Turbine Clustering Algorithm of Large Offshore Wind Farms considering Wake Effects. Mathematical Problems in Engineering No. 2019 (2019), pp.1-7.
https://search.emarefa.net/detail/BIM-1196706
American Medical Association (AMA)
Zhang, Binbin& Liu, Jun. Wind Turbine Clustering Algorithm of Large Offshore Wind Farms considering Wake Effects. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-7.
https://search.emarefa.net/detail/BIM-1196706
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1196706