Wind Turbine Clustering Algorithm of Large Offshore Wind Farms considering Wake Effects

Joint Authors

Liu, Jun
Zhang, Binbin

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

Civil Engineering

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