Optimum Data Sampling Frequency for Short-Term Analysis of Power Systems with Wind

The aim of this paper is to determine the optimum data sampling frequency for building wind speed models for dynamic analysis of power systems. Higher sampling frequencies increase the computational burden of the model, while smaller frequencies cannot capture faster wind variations. Another aspect to take into account when selecting the sampling frequency is that the wind turbine blades damp faster wind speed variations. This paper addresses these issues by using wind speed measurements as well as the continuous-time autoregressive moving average modeling approach to study the effect of the sampling frequency and blade damping on the stochastic properties of the proposed wind speed model.