Distributed Active Power Optimal Dispatching of Wind Farm Cluster Considering Wind Power Uncertainty

With the large-scale volatility and uncertainty of centralized grid connection wind power, dimensionality disaster problem farm cluster (WFC) scheduling optimization calculation becomes more significant. In view these challenges, a distributed active power optimal dispatch model for WFC based on alternating direction multiplier method (ADMM) is proposed, analytical description distribution characteristics output farms introduced into proposed model. Firstly, wake effect, Weibull speed transformed by impulse function to establish an farm. Secondly, goal minimize expected sum deviations instructions probability density each farm, constructing considering uncertainty. Finally, decoupled in space time sub-optimization problems, ADMM improved construct efficient solution algorithm that can iterate parallel decouple large number decision variables at same time. The compared with other current classical models through evaluation multiple recommendation metrics, experimental results show has 3–7% reduction dispatched shortfalls 4–21% improvement utilization. construction extremely high computational efficiency good convergence. when update step size three, convergence fastest, six, slowest; addition, greater than eight, computing incomparable advantage over one. It plays helpful role consumption effectively improves reliability grid.