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

fYear

2012

fDate

18-20 April 2012

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/SIU.2012.6204432

Filename

6204432