Study on wind speed soft sensing based on neural networks for wind power generators
Wang Ling-xiang · Electric Power · 2010
Problems in speed measurements for wind power generators were studied.Considering that neural networks can be applied to modeling and identification of nonlinear systems without the restrictions of nonlinear models and give the learning algorithm for project to easily realize,a neural network based wind speed soft sensing was proposed.The wind speed sample set by real-time acquisition was analyzed,and the training and matching for an effective calculation network of wind speed were made.Simulation results show that the effective wind speed soft sensing can replace anemometers and it is a very effective method for the estimation of wind speed.