Electric Power Systems Research 89 (2012) 23–30
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Electric Power Systems Research
jou rn al h om epage: www.elsevier.com/locate/epsr
Minimization of powers ripple of direct power controlled DFIG by fuzzy
controller and improved discrete space vector modulation
Mohammad Verij Kazemi
a
, Morteza Moradi
b
, Reza Verij Kazemi
c
a
Institute for Higher Education, Pooyandegan Danesh, Chaloos, Iran
b
Islamic Azad University, Nowshahr Branch, Mazandaran, Iran
c
Islamic Azad University, Chalos Branch, Chaloos, Mazandaran, Iran
a r t i c l e i n f o
Article history:
Received 12 August 2011
Received in revised form 5 February 2012
Accepted 7 February 2012
Available online 6 March 2012
Keywords:
Constant switching frequency
Direct power control
Discrete space vector modulation
Doubly fed induction generator
Fuzzy logic controller
a b s t r a c t
This paper presents a new direct power control (DPC) strategy for a double fed induction generator (DFIG)
based wind energy generation system. The strategy of the discrete space vector modulation (DSVM)
that is on the basis of the DPC, is implemented. The algorithm to select voltage vector can effectively
change the response of the system. So, a new analysis is done and a new switching table is proposed. The
proposed switching table is presented to optimize the performance of the voltage vectors by accurately
designing the sequence of the voltage vectors. Rearranging the sequence of the voltage space vectors has
an influence on active power ripple. To enhance the performance of the closed loop system, fuzzy system
is proposed in place of the switching table and hysteresis system. The four variables, rotor speed, errors
of the active and reactive powers and stator flux position are exerted to the fuzzy system and the output
is the vector that should be implemented to the switching devices. The outperformance of the proposed
method is demonstrated by performing simulations in Matlab Software.
© 2012 Elsevier B.V. All rights reserved.
1. Introduction
The most important advantages of variable speed wind turbines
versus a conventional constant speed system are the improved
dynamic behavior, resulting in the reduction of the mechanical
stress and fluctuation of the electrical power, and also the increase
of the power capture [1]. One of the generation systems, com-
mercially available in the wind energy market, is the doubly fed
induction generator (DFIG) which its stator winding is directly con-
nected to the grid and its rotor winding is connected to the grid
through a frequency converter (Fig. 1). One of the advantages of
this system is that the rating of the power converter is one-third of
that of the generator, also operation and four quadrant active and
reactive powers.
Direct torque control (DTC) of induction machine was devel-
oped in the mid-1980s [2,3]. DTC is an active research control
schemes which is on the basis of the decoupled control of flux and
torque. DTC provides a very fast and precise torque response with-
out a complex field-orientation block and inner current regulation
loops. Some DTC based strategies are voltage vector selection using
switching table [2], direct self-control [3], space vector modulation
[4], discrete space vector modulation [5] and fuzzy logic [6]. As an
intelligent method, fuzzy control does not need the accurate math-
ematic model of the process. Fuzzy logic controllers were used in
direct torque control systems in the past few years. Wei et al. [7]
combined DSVM and Fuzzy and gained a good response.
Base on the principles of DTC strategy, direct power control
(DPC) was developed for three-phase pulse width modulation
(PWM) rectifier. DPC directly controls the stator active and reac-
tive powers. It is possible to control the amplitude of the rotor flux
space vector and its relative distance from the stator flux space
vector, i.e., a necessary condition for the control of the DFIG.
Several researchers focused on the progress of the DPC tech-
niques that operate at a variable switching frequency [8,9].
Expensive and complicated AC harmonic filters and power convert-
ers are the consequence of using the variable switching frequency.
DPC at a constant switching frequency was recently developed for
the DFIG by [10,11]. But the practical implementations of these
methods are more complicated and expensive than conventional
DPC. Verij kazemi et al. [12] presented a new DPC on the basis of
the DSVM technique. Number of voltage vector generated by this
method is more than conventional DPC method. The increase of the
number of voltage vectors allows designing more accurate switch-
ing tables. The DSVM-DPC achieves a sensible reduction of power
ripples and constant switching frequency without increasing the
complexity of the conventional DPC.
In this paper, power ripples in DSVM-DPC are analyzed and the
optimized switching tables are defined. Then, a new DPC control
strategy for DFIG on the basis of fuzzy logic is presented and the per-
formance of the proposed fuzzy system is compared with switching
table. Mamdani’s min-max method [15,16] is used to compute
the inference strategy in the fuzzy system. The rules of the fuzzy
0378-7796/$ – see front matter © 2012 Elsevier B.V. All rights reserved.
doi:10.1016/j.epsr.2012.02.008