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    Abstract In this paper, we present a variable speed windinduction generator associated to a flywheel energy storage system.

    Direct torque control strategy for an induction generator used in the

    flywheel energy storage system, is applied. Both rotor flux and DC

    bus voltage are regulated by the applied of the standard switching

    table for an operation in the 4 quadrants. This system is used for

    improving the quality of the electric power delivered by the windgenerator. The proposed system with DTC control strategy is

    validated through simulations. Theobtained results are presented anddiscussed.

    Keywords Direct Torque control; Flywheel energy storage

    systemInduction generator; Variable speed wind turbine;

    I. INTRODUCTIONor a standalone operating, the squirrel induction machine

    is preferred because it is robust, needs little maintenance

    and does not need a supply to magnetize it. The simple

    way to use it as an autonomous generator consists in

    connecting its stator windings to a capacitor bank in parallel tothe load. The remaining magnetic flux, added to the

    magnetizing current through the capacitor bank yields the

    built up of the electromotive force and its increase to a useful

    value. This approach is very cheap and is well adapted to

    convert the wind energy into electrical one for isolated or

    faraway areas from the grid distribution [1-3]. However, the

    magnitude of the stator voltage and frequency are very

    sensitive to both speed and load values. Another way to

    achieve an autonomous operating is to connect the stator

    windings to a rectifier/inverter. In this case, the device has to

    be controlled in order to maintain the DC voltage at a constant

    value whatever the speed and the load values as long as the

    wind power is sufficient to satisfy the electric needs. The rotorflux oriented control is used to maintain the terminal voltage

    constant [4-6]. Besides, different others solutions have been

    suggested to control the voltage [6-9].

    D.Rekioua, Pr is with the Electrical Engineering department, University of

    Bejaia 06000 Algeria (e-mail: [email protected]).

    T. Rekioua, Pr is with the Electrical Engineering department, University of

    Bejaia 06000 Algeria (phone: +213 34215006; fax: +213215105; e-mail:

    to_reki@ yahoo.fr).

    K.Idjdarene, Jr is with the Electrical Engineering Department, University

    of Bejaia 06000 Algeria (e-mail: [email protected]).

    A.M Tounzi, Pr is with L2EP Laboratory, USTL of Lille France (e-mail:

    [email protected]).

    Comparing with the vector control, DTC is a very simple

    control scheme with low computational time. Current

    regulator, rotor speed sensor, and co-ordinate transformation

    is not required with DTC. In generator, the speed of the

    machine is already determined by the wind turbine. However,

    the speed is essential for coordinate transformation in vector

    control.Therefore, DTC scheme is better than vector controlscheme for generator application [5], [11].

    For standalone applications storage cost still represents the

    major economic restraint. In our application we choose to use

    an inertial storage system. Energy storage in wind systems can

    be achieved in different ways [12-14]. However the inertial

    energy storage adapts well to sudden changes of the power

    from the wind generator. Moreover it allows obtaining high

    power to weight and number of charge cycles and discharge

    very high.

    In this paper, we propose to study DTC strategy to control the

    DC voltage of an autonomous induction generator connected

    to a rectifier when the input speed varies. Due to the important

    fluctuations of the wind, a flywheel energy storage system isassociated for improving the quality of the electric power

    delivered by the wind generator. To control the flux and the

    DC voltage at the rectifier output, we are applied in this work

    a standard switching table for an operation in the 4 quadrants.

    It is elaborate according to the exits of the hysteresis regulator

    of the flux, the hysteresis regulator of the torque and the zone

    of position N. The proposed control system is then simulated

    using MATLAB-SIMULINK package[15]. The obtained

    results are presented and discussed.

    II. PROPOSED CONTROL STRUCTUREThe system studied is constituted of a wind turbine, an

    induction generator, a rectifier/inverter, and flywheel energystorage system as shown in the Figure 1. The goal of the

    device is to provide a constant power and voltage to the load

    connected to the rectifier/inverter even if the speed varies.

    This can be achieved mainly by the control of the DC bus

    voltage at a constant value and the flywheel energy storage

    system participate to maintain the power of the load constant

    as long as the wind power is sufficient. To control the speed

    of the flywheel energy storage system we must find reference

    speed which with the system must turn to ensure the energy

    transfer required at each time. The reference speed can be

    determinate by the reference energy. The power assessmentof

    the overall system is given by:

    D. Rekioua, T. Rekioua, K. Idjdarene, and A. Tounzi

    Control of a wind energy conversion system

    associated to a flywheel energy storage system

    F

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    PPPlP windoadref = (1) Where:Prefis the reference power,Ploadthe load power;Pwindthe wind power and P is the power required to control theDC voltage Vdcat constant value.

    Fig. 1. The system studied

    III MODEL OF INDUCTION MACHINE

    The linear model of the induction machine is widely knownand used. It yields results relatively accurate when the

    operating point studied is not so far from the conditions of the

    model parameter identification.

    This is often the case when the motor operating, at rated

    voltage, is studied. In our approach, we adopt the d-q model

    of the induction machine expressed in the stator frame noted

    by (). The electrical equations are then written as follows:

    =

    r

    r

    s

    s

    rr

    rr

    s

    s

    s

    s

    i

    i

    i

    i

    .

    RL..p0M..p

    L..pRM..p0

    00R0

    000R

    0

    0

    V

    V

    +

    dt

    di

    dt

    di

    dt

    di

    dt

    di

    .

    L0M0

    0L0M

    M0L0

    0M0L

    r

    r

    s

    s

    r

    r

    s

    s

    (2)

    Where Rs, Rr, Ls and Lr are the stator and rotor phase

    resistances and leakage inductance respectively, M is the

    mutual inductance and the speed.

    Besides, Vs, is, Vs and is are the -stator voltages andcurrents respectively along the and axis. irand irare the

    -rotor currents along the and axis.

    IV.CONTROL STRATEGY

    The conditions of dynamic control on the torque of the

    induction machine can be highlighted, by the vector model of

    the machine. For that one we present the electrical equations

    of the machine in the spatial vector:

    dt

    dIRV ssss

    += (3)

    rr

    rr jdt

    dIR0

    += (4)

    The voltage vector Vsis delivered by a three-phase voltage

    inverter, whose state of the switches are supposed perfect, is

    represented in theory by three (3) Boolean sizes of control Sj

    (j=a,b,c) such as :

    Sj =1 high switch is closed and low switch is open. Sj =0 high switch is open and low switch is closed.

    Thus the voltage vector Vscan be written in the form:

    ++= 3

    4

    3

    2

    2

    3

    j

    c

    j

    badcs eSeSSVV (5)

    The combinations of the three (3) sizes (Sa, Sb, Sc) make it

    possible to generate eight (8) positions of the voltage vector

    Vs whose two (2) positions correspond to the zero vector :

    (SaSbSc) = (111) or (000).

    We use Concordia transformation [11]:

    ( )

    =

    =

    scsbs

    sas

    iii

    ii

    2

    1

    23

    (6)

    ( )

    ( )

    =

    =

    cbdcs

    cbadcs

    SSVV

    SSSVV

    2

    1

    2

    1

    2

    3

    (7)

    With: Sj(j=a,b,c) are the Boolean sizes of control.

    The magnitude of the stator flux is estimated from its

    components along the axes and [10];

    ( ) ( )

    ( ) ( )

    =

    =

    t

    0

    ssss

    t

    0

    ssss

    dtiRVt

    dtiRVt

    (8)

    2

    s

    2

    ss += (9)

    The electromagnetic torque can be estimated starting from

    the estimated sizes of flux (s and s ) and the calculatedsizes of current (isand is) (Fig.2).

    ssssme iipT = (10)

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    Fig. 2 Block diagram

    The switching table applied in this work is a standard table for

    an operation in the 4 quadrants. It is elaborate according to the

    exits of the hysteresis regulator of the flux, the hysteresis

    regulator of the torque and the zone of position N as shown in

    table 1. [5] .The vectors V0and V7are alternatively selected

    so as to minimize the number of commutation in the arms of

    the rectifier/inverter.

    V MODELING OF THE FLYWHEEL ENERGY STORAGE SYSTEM

    The reference energy for the SISE as follows [14]:

    +=2t

    1t

    ref

    1t

    crefc dt.PEE (11)

    Where: 1tcE is the flywheel initial energy.We determinate the reference speed as follows:

    t

    refc

    refJ

    E.2= (12)

    With: FlywheelIGt JJJ += (13)

    The reference speed is limited in order to maintain the IG in

    the area of operation at constant power and not exceed the

    maximum speed of the flywheel [14].

    Figure.3 represents the torque and power as a function of

    speed. We notice that:

    Forrated0 The torque may be maximal giving

    up a power proportional to the speed = kPIG . For

    rated the power is maximum and corresponds to

    the rated power of the machine; the electromagnetic torque

    is inversely proportional to the speed

    kTem= .

    So, if we want to have the machine rated power, it is

    necessary to use it beyond its rated speed, which lets us to

    consider the speed as the lower limit storage and the dual

    value of speed as the upper limit storage

    (rd/s)

    P (W)

    Prated

    rated 2.rated

    (rd/s)

    Tem(N.m)

    Tem max

    rated 2.rated

    Fig. 3: Power and torque as a function of speed

    Thus a field weakening operation will be necessary to obtain a

    constant power in the speed range 1500 to 3000 rpm.

    The reference flux is then determinate by:

    =rated

    rated

    rated

    ratedrated

    efrif

    if

    (14)

    With : Flywheel speed, rated : rated speed, rated :

    rated flux and ref : Reference flux.

    Simulation is made with a wind power profile which provides

    power continuously required by the load through the SISE.

    The proposed structure is given in Figure 4.

    Figure 5 shows the development of wind power which varies

    between 1000W and 2400W. We note that the power supplied

    to the load is kept constant through the flywheel energy

    storage system. The parameters of the machine are listed in

    the table 2.

    Figure 6 correspond to the storage power flywheel energy

    storage system. This power can be positive or negative. It

    depends on the wind power and the power load required. We

    note that it is positive when the wind power produced is

    greater than the load power required by the load and is

    negative when there is a less power produced compared with

    that of the load.

    TABLEI

    SWITCHING TABLE

    N 1 2 3 4 5 6

    Cflx=1 Ctrq = 1 V2 V3 V4 V5 V6 V1

    Ctrq = 0 V7 V0 V7 V0 V7 V0

    Ctrq = -1 V6 V1 V2 V3 V4 V5

    Cflx=0 Ctrq = 1 V3 V4 V5 V6 V1 V2

    Ctrq = 0 V0 V7 V0 V7 V0 V7

    Ctrq= -1 V5 V6 V1 V2 V3 V4

    TABLE2

    PARAMETERS INDUCTION MACHINE

    Parameter Value Parameter Value

    UN

    220/380 V M 0.07767H

    NN 3000 rpm J 0.2271 kg.m2

    Rr= Rr 0.76 f 0.0022 Nm/rd.s-1

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    Fig.4. Proposed Control System

    0 5 10 15 20 25 30-2500

    -2000

    -1500

    -1000

    -500

    0

    Fig. 5. Wind and load power

    0 5 10 15 20 25 30-1000

    -800

    -600

    -400

    -200

    0

    200

    400

    600

    800

    1000

    Fig.6.Power storage SISE.

    To regulate the bus voltage, we need a required power

    represented in Figure 7

    0 5 10 15 20 25 30-200

    -180

    -160

    -140

    -120

    -100

    -80

    -60

    -40

    -20

    0

    Fig.7. Power of the DC bus

    Flywheel speed and the reference speed are represented in

    Figure 8. The rotational speed increases when the energy is

    transferred to the flywheel, and decreases when the flywheel

    is unloaded..

    0 5 10 15 20 25 30120

    140

    160

    180

    200

    220

    240

    260

    280

    Fig.8. Flywheel and reference speed

    t(s)

    t(s)

    PFlw

    (W)

    P(W)

    P(W)

    t(s)

    windP

    loadP

    t(s)

    ref

    Flyw

    (rd/s)

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    The electromagnetic torque follows the evolution of the speed

    (Figure 9)

    0 5 10 15 20 25 30-5

    -4

    -3

    -2

    -1

    0

    1

    2

    3

    4

    5

    Fig.9. Electromagnetic torque

    The voltage DC bus is kept constant around 465 V, with an

    overshoot at startup by about 10% (figure 10).

    0 5 10 15 20 25 300

    50

    100

    150

    200

    250

    300

    350

    400

    450

    500

    550

    Fig.10. DC voltage Vdc.

    Variations of stator flux are represented in Figure 11. The

    fluxs

    , and s follows the variations of the speed and

    does not exceed the nominal flux.

    0 5 10 15 20 25 300

    0.1

    0.2

    0.3

    0.4

    0.5

    0.6

    0.7

    0.8

    Fig.11.Statorique flux

    The simulation stator flux trajectory is represented in Figure

    102

    Fig.12. Stator flux trajectory.

    VI CONCLUSION

    In this paper, a variable speed wind system with a flywheel

    energy storage system has been presented and studied. A

    direct torque control is applied to the induction machine of the

    flywheel energy storage system generator. From the Park

    model of the machine, we defined a direct torque control forthe machine operating. The developed control answers the laid

    down objectives well. The results of simulation clearly show

    the good operation of the flywheel energy storage system

    storage. Simulation calculations show the well controlled of

    theDC voltage.REFERENCES

    [1] D. Rekioua., T. Rekioua, K. Idjdarene and A. M. Tounzi, An approachfor the modelling of an autonomous induction generator taking into

    account the saturation effect, International Journal of Emerging Electric

    Power Systems (IJEEPS) Vol 04 Iss 1, Nov 2005, pp. 1-23.

    [2] A. M. Alsalloum, A. I. Alolah and R. M. Hamouda, Operation of three-phase self-excited induction generator under unbalanced load, in the

    Proceeding of Electrimacs 2002, August 18-21, pp. 1-5.

    [3] [3] L.Wang and C. H. Lee,A Novel Analysis on the Performance of anIsolated Self-Excited Induction Generator, IEEE Trans. on Energy

    Conversion, Vol 12 No 2, June 1997, pp. 109-117.

    [4] E. Levi, Y. W. Liao. Rotor flux oriented induction machine as a DCpower generator. In: CDROM of the 8th European Conference on

    Power Electronics and Applications EPE99, Lausanne, Switzerland;

    1999, p. 1-8.

    [5] K. Idjdarene, D. Rekioua, T. Rekioua. and A. M. Tounzi, Controlstrategies for an autonomous induction generator taking the saturation

    effect into account In: CDROM of the 12th European Conference on

    Power Electronics and Applications EPE07, Aalborg, Denmark, 02-05

    September 2007.p. 1-10.

    [6] D. Seyoum, C. Grantham, Terminal voltage control of a wind turbinedriven isolated induction generator using stator oriented field control.

    In: IEEE transactions on industrial Applications; September 2003, p.

    846-852.[7] S.S. Murthy, C. Parabhu, A. K .Tandon., M. O.Vaishya, Analysis of

    Series Compensated Self-Excited Induction Generators for Autonomous

    Power Generation. In IEEE Conference on Power Electronics, Drives

    and Energy Systems for Industrial Growth; 1996, p. 687-693.

    [8] V. N. Nandakumar, K. Yadukumar, T. Sureshkumar, S. Ragupathi, R. K.Hegde, A Wind Driven Self-Excited Induction Generator with Terminal

    Voltage Controller and Protection Circuits. In IEEE Power Conversion

    Conference; 1993, p. 484-489.

    [9] R. Bonert, R. Rajakaruna, Self-Excited Induction Generator withExcellent Voltage and Frequency Control In IEE Proc.-Gener. Transm.

    Distrib.1998; 145 (1): 33-39.

    [10] D. Rekioua, T. Rekioua, S. Alloune, Switching Strategies in DirectTorque Control of Induction Machine: Modelling and simulation,

    International Conference Modelling And Simulation (MS2004)-Lyon

    France, 4-7 Juillet 2004, pp : 3-183-21.

    [11] H. Ziane, J.M. Retif, T.Rekioua, Fixed-switching-frequency DTCcontrol for PM synchronous machine with minimum torque ripples.Canadian Journal of Electrical and Computer Engineering, 33, (3), 2008;

    183-189

    [12] C. Carrilloa, , A. Feijo, a, and J. Cidrsa, Comparative study offlywheel systems in an isolated wind plant; Renewable Energy Journal ,

    Volume 34, Issue 3, March 2009, pp: 890-898.

    [13] L. Jerbi, L. Krichen, A. Ouali;A fuzzy logic supervisor for active andreactive power control of a variable speed wind energy conversion

    system associated to a flywheel storage system, Electric Power Systems

    Research Journal, Volume 79, Issue 6, June 2009, pp: 919-925.

    [14] G.O.Cimuca, Systme inertiels de stockage dnergie associe desgnrateurs oliens, Thesis Doctorat Ecole Nationale Suprieure dArts

    et Mtiers, Lille (France), 2005.

    [15] Simulink: Dynamic System Simulation for Matlab. Using Simulink. TheMathWorks, Inc. Copyright 1984-2002. Release 13.

    emT

    refT

    t(s)

    Tem(N.m

    )

    t(s)

    vdc

    (V)

    t(s)

    s(Wb)

    s(Wb)

    s

    (Wb)

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    Djamila Rekioua (ZIANI), (1963), studied Electrical

    Engineering at the Ecole Nationale Polytechnique of

    Algiers, and received her engineer degree in 1987, the

    Master Degree (MS93) in 1993 in the same school and

    the Doctorate (PHD) in 2002 at the University UFAS Setif

    (Algeria).e-mail: [email protected]

    URL:works.bepress.com/djamila_rekioua/Since 1989, she is teaching and pursuing research, firstly

    at the University of Sciences and technology, Bab ezzouar (Algiers) and now

    she is Professor at the University of Bejaia (Algeria). Some previous

    publications:

    -D. Rekioua, K. Idjdarene, T. Rekioua Et A. M. Tounzi , An approach for the

    modeling of an autonomous induction generator taking into account the

    saturation effect , International Journal of Emerging Electric Power

    Systems, Volume 4, Issue 1, article 1052, pp 1-25; 2005.

    -K. Idjdarene, D. Rekioua, T. Rekioua, A. Tounzi, Contrle dune olienne

    en fonctionnement autonome base sur une gnratrice asynchrone Energy

    Conversion and Management, Elsevier, Volume 49, Issue 10, October 2008,

    Pages 2609-2617.

    -S. Lalouni, D. Rekioua, T. Rekioua, E. Matagne, Fuzzy logic control of

    stand-alone photovoltaic system with battery storage, Journal of Power

    Sources, Elsevier(2009) Volume 193, Issue 2, 5 September 2009, Pages 899-

    907

    Prof Rekioua Djamila is reviewer in Conferences (CNESOL06, ICRE07,

    MS07, WIERA09, SMEE10) and in different Research Journals and her

    research interests are in the modeling, control of A.C machines and Electric

    drives, Renewable Energy (photovoltaic, wind turbine, and hybrid systems).

    Toufik Rekioua(1962), received his Dipl.

    d'Ingenieur from the Ecole Nationale Polytechnique

    and earned the Diplome of Doctorat d'I.N.P.L of

    Nancy (France) in 1991. e-mail: [email protected]

    He is professor at the Electrical department-

    University of Bejaia (Algeria). His research

    activities have been devoted to several topics:

    control of electrical drives, modeling, wind turbine

    and control in A.C machines.

    Some previous publications:

    -M. Hadef, T. Rekioua, M.R. Mekideche And D. Rekioua, A New Direct

    Torque Control Method for Switched Reluctance Motor Drives Compared

    with Vector Control, Asian Journal of Information Technology 6 (4), pp

    462-467, 2007

    -Hocine Ziane, Jean-Marie Rtif, Toufik Rekioua

    Contrle DTC frquence fixe appliqu une MSAP avec minimisation des

    oscillations du couple ; Canadian Journal of Electrical and ComputerEngineering33, 3/4 (2008) 183-189.

    K. Idjdarene, D. Rekioua, T. Rekioua, A. Tounzi, Contrle dune olienne

    en fonctionnement autonome base sur une gnratrice asynchrone Energy

    Conversion and Management, Elsevier, Volume 49, Issue 10, October 2008,

    Pages 2609-2617.

    Prof Rekioua Toufik is reviewer in different Research Journals and

    conferences (ICRE07, WIERA09)

    Kassa Idjdarene (1975) studied Electrical Engineering at

    the University of Bejaia and received his engineer degree

    in 2002, the Master Degree (MS05) in 2005 in the same

    University where he is teaching and pursuing his

    researches in wind turbine systems.

    e-mail: [email protected]

    Some previous publications:

    -D. Rekioua, T. Rekioua, K. Idjdareneet A. M. Tounzi

    An Approach for the Modelling of an Autonomous Induction Generator

    Taking into Account the Saturation Effect , International Journal of

    Emerging Electric Power Systems (IJEEPS), Vol. 04, Iss. 1, Nov 2005, pp: 1-

    23. Manuscript 1052, Produced by the Berkeley Electronic Press.

    - K.Idjdarene, D. Rekioua, T. Rekioua Et A. M. Tounzi, A Control Strategy

    for an Autonomous Induction Generator Taking the Saturation Effect into

    Account, European Power Electronics and drives EPE07, Aolborg,

    September 2007.

    -K. Idjdarene,D. Rekioua, T. Rekioua, et A. M. Tounzi

    Vector control of autonomous induction generator taking saturation effect

    into account, Energy Conversion and Management (Elsevier science), Vol.

    49, Iss. 10, Oct 2008, pp: 2609-2617.

    Abdel Mounaim Tounzi (1965) received the Doctorate

    (PHD) in 1993 at the Institute polytechnic of Loraine

    (INPL)-University of NancyFrence and the HDR in 2004

    at the university of Science and Technology of Lille

    (Frence). Actually he is teaching and pursuing research in

    l2EP Laboratory (USTL).

    e-mail:[email protected]

    Some previous publications:

    -Ghislain Remy, Julien GOMAND, Abdelmounam TOUNZI, Pierre-Jean

    BARRE "Analysis of the force ripples of a current loaded PMLSM"

    COMPEL: The International Journal for Computation and Mathematics in

    Electrical and Electronic Engineering, Vol. 28, N. 3, pages. 750 - 761, ISBN.

    DOI: 10.1108/03321640910941007, 6-2009.

    - Kassa IDJDARENE, Djamila Rkioua, Toufik Rkioua, AbdelmounamTOUNZI

    "Vector control of autonomous induction generator taking saturation effect

    into account", Energy Conversion and Management, 11-2008

    -Mathieu AUBERTIN, Abdelmounam TOUNZI,Yvonnick LE MENACH

    "Study of an electromagnetic gearbox involving two permanent magnet

    synchronous machines using 3D-FEM", IEEE Trans Mag, Vol. 44, N. 11,

    pages. 4381 - 4384, 10-2008

    Prof Tounzi is reviewer in conferences (JCGE2001, ICRE07, IECON2009,)

    and in different Research Journals (IEEE trans.mag, IEEE trans Industrial

    Electronics, EPJ-AP, RIGE, IJEEPS) and his research interests are in the 3D

    finite elements, magnetic materials and wind turbine.