Accurately modelling
of wind speed is very important for the assessment of wind energy potential of
a certain region. Before the installation of a wind energy conversion system in
a region, the wind speed potential of that region needs to be determined and
modelled. For this reason, different distribution functions such as
two-parameter Weibull, Gamma, Lognormal, Rayleigh etc. are proposed for accurately modeling wind
speed in the literature. In this paper, new probability and cumulative
probability density functions based on Finsler geometry are proposed for wind speed modelling. Two-dimensional Finsler
space metric function is obtained for Weibull distribution. Monthly analysis
for Yalova, Turkey is realized using a new method based on Finsler geometry
and two-parameter Weibull distribution. Wind data, consisting of hourly wind speed records between October
2015-September 2016 were obtained from the Yalova station of Turkish State Meteorological Service. The
performances of the models are given
comparatively by using root mean square error (RMSE).
Subjects | Electrical Engineering |
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Journal Section | Research Article |
Authors | |
Publication Date | October 25, 2017 |
Submission Date | June 17, 2017 |
Acceptance Date | October 11, 2017 |
Published in Issue | Year 2017 Volume: 4 Issue: 3 |