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A new wind power measurement algorithm: A sample calculation for OMU-Dedebuzagi hill

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4 Author(s)
Ömer Kolsan ; Elektrik - Elektronik Mühendisliği Bölümü, Ondokuz Mayıs Üniversitesi, 55139, Kurupelit - Samsun - Türkiye ; Okan Ozgonenel ; Muammer Özdemir ; Sercan Karaca

In this work, both unscented transform (UT) and frequency analysis techniques are used for calculating potential wind power of OMU - Dedebuzagi hill based on a year wind data. UT technique reduces process time since it uses only a few samples of probability density function of random variables into system. Weibull distribution with three parameters is used for predicting wind power. The wind power values for measurement site are then compared to another proposed method called frequency analysis.

Published in:

2012 20th Signal Processing and Communications Applications Conference (SIU)

Date of Conference:

18-20 April 2012