Estimation and characteristic analysis of large-scale wind farm generation in cyber physical energy system

The variability and uncertainty of wind energy is becoming a huge threat to the security and stability of the grid with high wind penetration. This paper focused on the stochastic dynamic model for aggregated generation of large-scale wind farm in cyber physical energy system, and presented a dynamic system description aggregated generation of wind turbines based on stochastic Burgers equation from near-surface wind field's dynamics and wind-generation function with uncertainties. Then we developed a particle filter based solutions to estimate the τ-step-ahead generation of this nonlinear dynamic system. Finally, a 30-turbine study case shows that this method is efficient and effective.