I. Introduction
With the increasing penetration and power share of renewable energy sources, mainly wind power and photovoltaic(PV), in the power system, the intermittency and volatility of their output power will affect the stability and reliability of the power system operation, which brings great challenges to the production simulation and optimal scheduling of the power grid. Therefore, the scenario generation method has been widely applied as a modeling method for renewable energy output power uncertainty, which utilizes historical wind power data and takes into account multiple stochastic factors, such as climate change, load variation, etc., to generate renewable energy power scenarios that conform to the historical power law, providing a decision-making basis for future system planners and operators.