Review and Improvement of Several Optimal Intelligent Pitch Controllers and Estimator of WECS via Artificial Intelligent Approaches - Complex System Modelling and Control Through Intelligent Soft Computations - page 496

(a)

Wind

Aerodynamic
Turbine
model

Gear box Generator GRID

P,Q
V,I

Pw

Blade
Pitch
Controller

Pitch angle

Refrence

Wind

(b)

-K-

1

z

G ain

1

-K-

Delay 5

1

z

Mean
wind
speed

Ga in 1

z

Delay

-K-

Delay 1

y

Gain 2

1
s+1

Add 1

Wind speed

Gaussian -1

1

Transfer Fcn

Gain 3 -K-

Gaussian
Noise
Generator

z

Gain 4

Delay 4

1

-K-

Add

z

Gain 5

Delay 2

Fig. 1 a Block diagram of a WECS and b generation of wind speed by the ARMA model

Thus out put power has been fixed in optimal and nominal rang by pitch angel

regulation.
Consequent these proposed approaches optimal have been adjusted turbines out
power by pitch angel

fixed simulation results of six these methods in Sect. 11 .

Resultant ed that in collation to other suggested

accedes; intelligent controllers have touched theses demand with higher accuracy in
wind turbulence rejection.

these simulations have veri

2 Related Works

Whenever turbulence wind speeds takes place, the blade pitch control practically
decreases the fluctuation of WECSs. There are several ways to determine suitable

pitch angle for steady operation (Sakamoto et al. 2005 ). In some cases this control is
accomplished using generalized predictive models, while in other cases PID con-
trollers are employed. In other word the bene

fl

ts when operating in the immediate
surroundings of gusty, nonlinear and adaptive model-based controllers, large wind
speeds have been documented (Horiuchi and Kawahito 2001 ; Bianchi et al. 2008 ).