Modeling of Wind Power Generating System with a Propeller Type Windmill by Neural Networks

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  • ニューラルネットを用いたプロペラ形風車発電システムのモデリング
  • ニューラルネット オ モチイタ プロペラガタ フウシャ ハツデン システム ノ

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Abstract

One of the expected sources of natural energy for the future is wind energy, which has been actively studied as a substitute sources of energy for the world. Not only about wind energy, natural energies of ocean, sun, etc. are clean and safe, but fluctuation of properties are large and has poor reproducibility, so that most important subject is to find out methods to take out those energies effectively. To simulate and control windmill power system by control sequence, we need to obtain the accurate model of the wind power generating system previously.<br> It is well-known that neural networks are useful for many problems in nonlinear system because of the ability of learning and nonlinear representation. We apply the neural network method to model a small-scale windmill power system which has a propeller type windmill with a dc generator. We manifested the validity of the proposed method by simulation results from both the simulated results for sinusoidal change of wind speed and natural wind speed by random sequence. Finally, the simulation results are illustrated to show the effectiveness of the modeling method used here for field data of wind speed and windmill speed.

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