Title :
A new wind power measurement algorithm: A sample calculation for OMU-Dedebuzagi hill
Author :
Kolsan, O. ; Ozgonenel, Okan ; Ozdemir, M. ; Karaca, S.
Author_Institution :
Elektrik - Elektron. Muhendisligi Bolumu, Ondokuz Mayis Univ., Kurupelit-Samsun, Turkey
Abstract :
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.
Keywords :
power measurement; probability; transforms; wind power; OMU-Dedebuzagi hill; UT technique; frequency analysis techniques; potential wind power calculation; random variables probability density function; unscented transform; wind power measurement algorithm; wind power prediction; wind power values; Frequency measurement; Power measurement; Probabilistic logic; Silicon; Transforms; Wind energy; Wind power generation;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2012 20th
Conference_Location :
Mugla
Print_ISBN :
978-1-4673-0055-1
Electronic_ISBN :
978-1-4673-0054-4
DOI :
10.1109/SIU.2012.6204432
