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    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

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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