Comparison of simulation methods of spatially correlated wind speeds

With the rapid development of wind power generation technologies, increasing wind power has been integrated into power systems. In order to study the impact of wind power uncertainties on power systems, efficient wind speed modeling and simulation methods are demanded. In this paper, the stochastic characteristics and spatially correlation of wind speeds of wind sites are presented. Then, three common wind speed simulation methods to generate spatially correlated wind speeds are compared, including Cholesky decomposition, Nataf transformation and Copula method. Further, the historical wind speeds of two wind sites in Netherland are used, and the performances of the three simulation methods are analyzed by some numerical tests. This paper provides guidance for the choosing of wind speed simulation methods in power system analysis.