Wind speed simulation in wind farms for steady-state security assessment of electrical power systems

Two methods are proposed to assess the impact of multiple wind farms on a large electrical power system. The methods are based on the Monte Carlo simulation of the wind speed occurring in each wind farm, taking into account measurements of mean values and correlations. The first method is based on the wind speed distribution, assumed to be Rayleigh, and on the correlation matrix, obtained from previously known simultaneous wind speed series. The second method is based on the application of the simulation to the wind speed series, taking into account the previously obtained conditional probabilities of the wind speeds as functions of other wind speeds in wind farms.