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

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Abstract: 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 (NARMA-L2) based on neural networks approach. This has the ad

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 11, 2012

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Ahmed. M. Kassem, "Neural Control Design for Isolated Wind Generation System Based on SVC and Nonlinear Autoregressive Moving Average Approach," WSEAS Transactions on Systems, vol. 11, pp. -, 2012, DOI:
Ahmed. M. Kassem. Neural Control Design for Isolated Wind Generation System Based on SVC and Nonlinear Autoregressive Moving Average Approach. WSEAS Transactions on Systems. 2012;11:-.
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