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

المؤلفون المشاركون

Liu, Jun
Zhang, Binbin

المصدر

Mathematical Problems in Engineering

العدد

المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-7، 7ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2019-09-09

دولة النشر

مصر

عدد الصفحات

7

التخصصات الرئيسية

هندسة مدنية

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1196706