FECT

Abstract: Wind power should be one of the major inputs for producing sustainable environmental conditions of glove. Worldwide wind power generation is now increasing significantly. Wind power, however, is not stable, and the power produced by turbines varies with time. We should know the characteristic feature of variations in the local wind farms. Time-dependent changes of the wind seed, for examples in Gifu University Campus (Japan) and Hera campus of UNTL (East Timor), are analyzed by the statistical function in time domain. The wind speed can be modeled using the Weibull distribution function. We found that the waiting time probability density for the wind speed is presented by a characteristic power law t^-a, where a-value (< 2.1) depends on the wind speed. Origin of the power-law waiting time distribution will be discussed in detail.

Keywords: wind power, statistical analysis, Poisson distribution, Weibull distribution, waiting time distribution