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7/28/2019 06007190
1/7
Performance Comparison of a Robust Self Tuned
Fuzzy Logic Controller used for Power Control in
Wind Conversion SystemsSwagat Pati K.B.Mohanty Benudhar Sahu
Department of Electrical Engineering Department of Electrical Engineering Department of Electrical Engineering
National Institute of Technology National Institute of Technology National Institute of Technology
Rourkela, India Rourkela, India Rourkela, India
[email protected] [email protected] [email protected]
Abstract In this paper a line excited cage generator is consideredwhich is connected with the grid through a bidirectional PWM
converter- inverter system. The generator is controlled by indirectfield oriented control (IFOC) scheme. Fuzzy logic controllers (FLC)
are used for the control purpose. The first FLC is used in the outerspeed loop to track the generator speed with the reference speed for
maximum power extraction and the second and third FLCs are usedin the inner current loops for control of active and reactive power.
The FLCs use normalized values of error and change of error as theirinputs. The outputs of the FLCs are again multiplied with gains togive the control signals. A trapezoidal membership function is takenfor the error input and triangular membership functions are taken for
change of error as well as output.Again a robust self tuned fuzzy logic controller (STFLC)
scheme is used in place of the FLCs. In this scheme a tuning FLC(TFLC) is used to tune the output gain of the main FLC. The inputs
to both the FLCs are normalized values of error and change of error.The output of the TFLC is the output gain of the main FLC. The main
FLC is similar to the FLC as discussed in the previous scheme. In theTFLC triangular membership functions are used for all input as well
as output variables. The performances of both the schemes aresimulated and a comparison is given. The simulation work is done in
MATLAB coding environment.
Keywords-Induction Generator, Bidirectional PWM inverter, Fuzzy
Logic Controller, Self Tuned Fuzzy Logic Controller, Indirect
Vector Control.
I. INTRODUCTION
In last 100 years, the human civilization has gone too
far in exploiting the limited resources on earth making the
biosphere vulnerable to many uncertain large scale disasters.
Many of such crises is due to the limited resource for the
generation of electrical power. In the past three four decadesharnessing hydro/wind energy for electric power generation
and the possible such alternate system is developed. A
continuous research is going on taking into account different
critical issues in this sector. Wind energy is one of the mostimportant and promising source of renewable energy all over
the world, mainly because it is considered to be nonpollutingand economically viable. At the same time there has been a
rapid development of related wind energy technology.
However in the last two decades, wind power has been
seriously considered to supplement the power generation by
fossil fuel and nuclear methods.
Normally induction machines are used for generation
purpose in wind energy systems, among which the cageinduction machines are well known for their advantages.
These machines are relatively inexpensive, robust, and requirelow maintenance. But due to the coupling effect between
active and reactive power the response becomes sluggish and
the control becomes difficult and complex in case of induction
generators. Because of this there arises stability problem when
the system is connected with the grid. When induction
machines are operated using vector control techniques, fast
dynamic response and accurate torque control are obtained.
All of these characteristics are advantageous in variable speed
wind energy conversion systems (WECS). Squirrel cage
generators with shunt passive or active VAR (volt ampere
reactive) generators was proposed in [3], which generate
constant frequency power through a diode rectifier and line
commutated thyristor inverter. Operation of several selfexcited induction generators connected to a common bus is
analyzed in [4]. The control systems for the operation ofindirect rotor flux oriented vector controlled induction
machines for variable speed wind energy applications are
discussed in [5]-[7]. Sensorless vector control scheme suitable
to operate cage induction generator is discussed in [5]. In [6]
cage induction machine is considered and a fuzzy control
system is used to drive the WECS to the point of maximumenergy capture for a given wind velocity.
The induction machine is connected to the utility
using back to-back converters. In this paper a variable speed
wind turbine driven squirrel cage induction generator system
with two double sided PWM converters is described. Fuzzycontrollers are used to optimize efficiency and enhance
performance. Again a self tuned fuzzy logic control scheme is
implemented for performance enhancement purpose and a
comparison is given. The control algorithms are evaluated by
MATLAB simulation study.
II. INDUCTION GENERATOR MODEL
The basic configuration of a line excited induction
generator is sketched in Fig.1. Normally the stator is
interfaced with the grid through back-to-back PWM inverter
Modern Electric Power Systems 2010, Wroclaw, Poland MEPS10 paper 07.6http://www.meps10.pwr.wroc.pl
7/28/2019 06007190
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configuration. The operating principle of a line excited
induction generator can be analyzed using the classic theory of
rotating fields and the well-known d-q model, as well as three-to-two and two-to-three axes transformations.
Fig: 1 Basic block diagram of the wind energy system
In order to deal with the machine dynamic behavior both the
stator and rotor variables are referred to synchronously
rotating reference frame in the developed model. When aiming
to express the induction machine electrical model in the above
mentioned reference frame , it is first necessary to perform the
&ODUNVWUDQVIRUPDWLRQIURPWKHWKUHHSKDVHWRWKHG-q current
and voltage systems.
The general convention applied in this model is
similar to that of the motor convention, i.e. the stator currents
are positive when flowing towards the machine and real power
and reactive power are positive when fed from the grid.
Stator voltages:
Vqs = Rs iqs +dt
d qs