Chakka Jashmitha, Dr. K. Jithendra Gowd, Assistant Professor
JNTUACEA
Abstract
This paper presents an approach involving variable speed wind turbine
(VSWT) generators in the frequency control to consider the healthy increase of wind
power production. The popular approaches that promote the frequency regulation of the
WTGs are droop control and a virtual inertia control. On the other side, the
inappropriate and intermittent flow of the wind exacerbates the application of these
techniques effects stability of the wind turbine, which will cause a breach of the permitted
reserve power and the minimum rotor speed of the turbine. Beside these methods a
dynamic de-loading technique is considered so that as frequency changes, the wind
turbine operating curve is altered using tip-speed ratio control. This provides transient
response and steady-state sharing of power within the stability criteria. In addition to this
a dynamic inertial response is proposed in order to provide inertial weighting gain in
order that the response to rotor speed which reflects the amount of kinetic energy in a
rotating mass. Artificial Neural Network, a component of artificial intelligence functions
as human brain. A feed forward neural network is considered. Furthermore, existence of
a fair power margin is a necessary requirement for continuous power sharing. The poor
performance of PI controller can be overcome by considering artificial neural network
and the entire work is performed in MATLAB/SIMULINK.