Smoothing wind power fluctuations by artificial neural network-based pitch angle controller

摘要: Wind energy has been receiving more acceptance as a reproducible, resourceful and clean source since last decade. power is not constant may fluctuate below the rated wind when speed lower than speed. This fact affects stability of system, to which generators are connected. becoming significant with increasing penetration systems. Pitch angle control one most common methods for smoothing output fluctuations during incidents. An artificial neural network (ANN)-based pitch controller proposed in this paper incidents beside traditional regulations above Two have presented: determination command based on exponential moving average proper selection correction factor by dynamic target according incident. Simulation results show effectiveness ANN-based significantly small drop power.