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Neural networks based power flow control of the doubly fed induction generator
2009
2009 International Conference on Power Engineering, Energy and Electrical Drives
This paper describes the models of wind power system, such as the turbine, the generator, the power electronics converters and the controllers, with the aim to control the generation of wind power in order to maximize the power generated with the lowest possible impact in the voltage and the frequency of the grid during normal operation and under the occurrence of faults. The present work considers a wind power system equipped with the Doubly Fed Induction Generator (DFIG) and a converter
doi:10.1109/powereng.2009.4915181
fatcat:25p4jdso5zbg5mjwumgwvmmic4