Abrupt changes of wind power generation output are a source of severe damage to power systems. Researchers at Kyoto University developed a stochastic modeling method that enables to evaluate the impact of such phenomena. The feature of the method lies in its significant computational effectiveness in comparison to standard Monte Carlo simulation, and its applicability to analysis and synthesis of various systems subject to extremum outliers.