Chaos Characteristics Analysis of Wind Power Generation Time Series for a Grid Connecting Wind Farm

In a grid connection wind power generation system,it is very important to predict the wind power generation capacity in scheduling the system and achieving low spinning reserve and optimal operating cost.The time series of wind power generating capacity are examined by nonlinear dynamical methods,in order to identify the chaos characteristics from its random-like waveform.Analysis of modeling with low dimension nonlinear dynamics indicates that the time series of wind power generation capacity have chaos characteristic,and that wind power-generating capacity can be predicted in a short time.