The contribution of our research include building an artificial neural
network in MATLAB program environment and improvement of
maximum loading point algorithm, to compute the most critical
voltage stability margin, for on-line voltage stability a
ssessment,
and a method to approximate the most critical voltage stability
margin accurately. a method to create a (ARTIFICIAL NEURAL
NETWORK) approach.
In this paper, we will design a Fuzzy Smith Predictor (FSP),
then we will model, simulate and analyze it using colored Fuzzy Petri
networks, then we will compare it with a conventional proportional
integral controller.
The main objective of this
research is to reduce the delay time
of the wind turbine system and to increase its reliability, in the other
side, to improve the response and stability of the operating point of
the mechanical energy and reduce vibration caused by the delay time
in the system.
