Analysis and NN-based control of doubly fed induction generator in wind power generation
Conference Paper
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abstract
With the increasing size of wind power
generation it is required to perform power system stability
analysis that uses dynamic wind generator models.
In this paper are presented all the wind power system
components, including the turbine, the generator, the power
electronic converter and controllers. The aim is to study the
Doubly Fed Induction Generator (DFIG) operation and its
connection to the power system, either during normal operation
or during transient grid fault events.
Two different control system design technologies are present,
the first is performed by standard PI controllers and the second
is based on artificial neural networks.
