A scenario technology applied to wind speed simulation in wind farm

With large-scale wind power integrated to power systems, there are a number of new challenges because of high randomicity of wind speed. In order to simulate the greatest stochastic characteristic of wind speed, this paper used time series analysis and Monte carol simulation method to generate large-seal scenario set, which based on the multi-scenario technology. A particle swarm optimization algorithm (PSO) method is used to resolve the multi-scenario optimization problem. The proposed method is help to reduced effectively the calculation time, it´s results can be applied to wind power economic dispatch. A specified test is given to validate the proposed method at last.