Neural Control Design for Isolated Wind Generation System Based on SVC and Nonlinear Autoregressive Moving Average Approach

@inproceedings{Kassem2012NeuralCD,
  title={Neural Control Design for Isolated Wind Generation System Based on SVC and Nonlinear Autoregressive Moving Average Approach},
  author={Mohamad Kassem},
  year={2012}
}
In this paper, the voltage and frequency control of an isolated self-excited induction generator, driven by wind turbine, is developed with emphasis on nonlinear auto regressive moving average (NARMAL2) based on neural networks approach. This has the advantage of maintaining constant terminal voltage and frequency irrespective of wind speed and load variations. Two NARMA L2 controllers are used. The first one is dedicated for regulating the terminal voltage of the induction generator to a set… CONTINUE READING

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