An application of a Markov chain noise model to wind generator simulation

Abstract

A method is presented of using a Markov process model to generate a random time series having similar characteristics, in terms of probability density and autocorrelation function, to a known series. As an extended example, it is shown how the Markov model was used to generate a time series of windspeeds as input to a generalised wind power system simulation. Studies were made of the effects of generator size and battery storage capacity on the average load current capable of being sustained by the wind generator.