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an energy storage system have been presented. Moreover, paper (Abdelkarim et al.
2011
) presents a wind-driven induction generator system with a hybrid controller,
which combines the advantages of the integral proportional and the sliding mode
controllers. The proposed controller in Abdelkarim et al. (
2011
) is designed to
adjust the turbine speed to extract maximum power from the wind.
Sometimes for the below-rated wind speed conditions, controlled torque of
generator is known as the indirect control in torque control technique. Characteristic
control schemes in power control employ blade pitch angle as the only controller
input. Mono variable control keeps the generator torque constant at its nominal
value in most controllers (Lin and Hong
2010
; Lin et al.
2010a
,
b
; Hand
1999
;
Bossanyi
2000
; Camblong
2004
; van der Hooft and van Engelen
2003
,
2004
).
Large winds farms consist of MW class wind turbine connect directly to
transmission networks. Nevertheless, the extensive power system performance and
designing in terms of power security, quality, stability, and voltage control have
been in
uenced by raised wind power generation (Boukhezzar et al.
2007
; Salman
and Teo
2003
). Researchers in Litipu and Nagasaka (
2004
) describe an operational
optimization strategy to be adopted at the wind park control level, that enables
de
fl
ning the commitment of wind turbines and their active and reactive power
outputs following requests from Wind Park Dispatch Centers, assuming that indi-
vidual wind turbines short-term wind speed forecasts are known and are expressed
as power availability. Connection of wind turbine to the utility grid is changed the
system
'
s dynamic characteristics (Moyano and Lopes
2009
). The most great sig-
ni
cance subjects in wind turbine are Aerodynamic and structural optimization.
This optimization requires the de
nition of an aerodynamic formation, which
grati
nite aims issue to limitations.
Most engineering computation methods have reverse nature. Thus reversed
design process is represented in conventional methods for the application scheme.
Ordered geometric shape often manually changed in a trial and error manner and
accordingly aerodynamic performance is considered by it. Prescribed target distri-
butions of some aerodynamic quantity determine the optimum architect or geometric
shape. As result inverse methods are designed by it. Ultimate goal is obtained by a
direct control process, where the control space is searched for the optimum control in
an intelligent way. The data in real-world applications generally include quantitative
value, but most preceding reports concentrated on database with binary values
(Gjengedal
2004
). Where the membership function (MFs) is recognized in progress,
some approach for mining fuzzy organization rules from quantitative data have been
proposed in many studies (Yue et al.
2000
; Agrawal et al.
1993
). When MFs set in
the best statue, it may have an important effect on the result. Studies in Hong et al.
(
2001
), Wang and Bridges (
2000
) have been achieved a learning or training of
the MMFs by different methods. Newly a genetic lateral tuning of MFs has
been performed by a new proposed linguistic rule representation model (Kaya and
Alhajj
2003
).
es de
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