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    On the passivity-based power control of a doubly-fed induction machine

    I. Lpez-Garca a, G. Espinosa-Prez a,,1, H. Siguerdidjane b, A. Dria-Cerezo c,2

    a Universidad Nacional Autnoma de Mxico, FIUNAM, Apartado Postal 70-256, 04510 Mxico DF, MexicobAutomatic Control Department, Suplec, Plateau du Moulon, 3 rue Joliot-Curie, 91192 Gif-sur-Yvette, Cedex, Francec Universitat Politcnica de Catalunya, DEE and IOC, EPSEVG, Av. V. Balaguer s/n, Vilanova i la Geltr 08800, Spain

    a r t i c l e i n f o

    Article history:

    Received 5 September 2011

    Received in revised form 24 August 2012

    Accepted 29 August 2012

    Available online 23 October 2012

    Keywords:

    Double-fed induction machines

    Passivity-based control

    Power regulation

    a b s t r a c t

    In this paper the stator-side power regulation control problem of DFIM is approached. It is shown how a

    passivity-based controller can deal with this problem establishing a viable solution from both a dynamic

    performance perspective and a practical implementation point of view. The evaluation of the presented

    scheme is carried out by considering typical operation conditions, namely: active power generation with

    demanded or delivered reactive power. Special interest is given to the rigorous establishment of the sta-

    bility properties of the closed-loop system, which allows for achieving remarkable dynamic responses, in

    terms of convergence rates as well as the region of attraction of the equilibrium point defined by a given

    operation regime. From a practical viewpoint, the usefulness of the scheme is concluded by realizing that

    the requirements imposed concerning the structural features of both the generator by itself and the

    power converter required for its operation, can be fulfilled by commercially available off-the-shelf

    devices.

    2012 Elsevier Ltd. All rights reserved.

    1. Introduction

    Doubly-fed induction machines (DFIMs) have become a funda-

    mental element in several applications related with efficient meth-

    ods for electric energy generation. This fact is due, on the one hand,

    to the high performance that can be achieved with this kind of

    devices under variable-speed operation and, on the other hand,

    to the possibility for feeding directly the rotor windings using high

    efficient power converters, which makes feasible to carry out the

    energy conversion process using only a small fraction of the energy

    managed by the whole power system[13].

    Motivated by these remarkable features, DFIM has been deeply

    studied and several useful properties are currently well-known, for

    example, that if the model is represented in a line-voltage vector-

    oriented reference frame, then the controller design can be carried

    out in a simpler and more robust way, since the stator active andreactive power can be controlled in a decoupled way while the

    coordinate transformation for representing the model in the afore-

    mentioned reference frame is parameter-independent[4].

    Starting with the pioneering work of[1], currently several con-

    trollers have been proposed in the literature, specially in applica-

    tions related with wind generation, e.g. [5,6]. Unfortunately, in

    most of these contributions both the design and/or the perfor-

    mance analysis rely on the application of classical linear control

    techniques[8,9], simplifying model assumptions (either consider-

    ing linearized models[7], negligible some of the machine parame-

    ters[10]or using reduced order models [11]) or by implementing

    non-robust open-loop integration methods for estimation of

    unmeasurable variables (e.g. stator fluxes[12]), while (to the best

    of the authors knowledge) only a few references can be found,

    where a rigorous complete stability analysis is presented, being

    the results presented in[13,14]some illustrative examples.

    The purpose of this paper is to contribute to the proposition of

    control schemes for DFIM that can deal with the stator-side power

    regulation control problem with rigorously established stabilityproperties. The motivation for contributing in this way to the solu-

    tion of this problem lies in the conviction that better structured

    control schemes leads to the achievement of higher performances.

    To this aim, in this paper it is shown that the controller presented

    by the authors in[15], where it was considered the case of having

    an isolated load, can be directly implemented to solve the power

    control problem, in the sense that some constant reference for

    the stator-side active and reactive powers can be reached asymp-

    totically. This objective is achieved by identifying, for some given

    power reference, the corresponding values for stator and rotor cur-

    rents and mechanical speed that must be achieved and showing

    that the considered control scheme indeed states a stabilization

    0142-0615/$ - see front matter 2012 Elsevier Ltd. All rights reserved.http://dx.doi.org/10.1016/j.ijepes.2012.08.067

    Corresponding author.

    E-mail addresses: [email protected](I. Lpez-Garca), [email protected]

    (G. Espinosa-Prez), [email protected] (H. Siguerdidjane), arnau.

    [email protected](A. Dria-Cerezo).1 On sabbatical leave at LSS-SUPELEC, France, supported by SUPELEC, DGAPA-

    UNAM (IN111211), II-FI-UNAM (Grant 1111) and Universit Paris-Sud XI.2 Arnau Dria-Cerezo was partially supported by the Spanish government research

    project DPI2010-15110.

    Electrical Power and Energy Systems 45 (2013) 303312

    Contents lists available atSciVerse ScienceDirect

    Electrical Power and Energy Systems

    j o u r n a l h o m e p a g e : w w w . e l s e v i e r . c o m / l o c a t e / i j e p e s

    http://dx.doi.org/10.1016/j.ijepes.2012.08.067mailto:[email protected]:[email protected]:[email protected]:arnau.%[email protected]:arnau.%[email protected]://dx.doi.org/10.1016/j.ijepes.2012.08.067http://www.sciencedirect.com/science/journal/01420615http://www.elsevier.com/locate/ijepeshttp://www.elsevier.com/locate/ijepeshttp://www.sciencedirect.com/science/journal/01420615http://dx.doi.org/10.1016/j.ijepes.2012.08.067mailto:arnau.%[email protected]:arnau.%[email protected]:[email protected]:[email protected]:[email protected]://dx.doi.org/10.1016/j.ijepes.2012.08.067
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    mechanism for this operation conditions, provided the mechanical

    torque delivered to the generator is constant.

    The usefulness of the controller scheme is evaluated assuming

    the more typical operation conditions for the DFIM, i.e. active

    power is always fed into the grid (for different values of stator

    power factor) while it is allowed both to deliver or demand reac-

    tive power to/from the grid. This different scenarios are considered

    by letting the constant mechanical torque to take different values.

    The achieved stability and performance properties of the closed-

    loop system are illustrated, first, under an stringent scenario,

    where the generator is at standstill at the beginning of the exper-

    iments, and, second, under a more practical situation, where the

    operation departs from non-zero initial conditions. The attractive-

    ness of the control scheme is concluded from two different per-

    spectives, namely: From the dynamic point of view, due to the

    stability properties and performance exhibited by the closed-loop

    system, and from a practical viewpoint, since the magnitude of

    all the system variables correspond to commercially available

    off-the-shelf experimental setups (including both the generator

    and the power converter).

    The rest of the paper is organized as follows: In Section2, the

    considered model for the DFIM is presented, together with the con-

    trol problem formulation and its solvability analysis. The proposed

    controller is developed in Section3 while its evaluation is carried

    out in Section 4. Section 5 is devoted to state some concluding

    remarks.

    2. Problem formulation

    In this section the considered model for the DFIM is presented

    to later on state the approached control problem and the condi-

    tions under which it is solvable.

    2.1. DFIM model

    Under the assumption of linear magnetic circuits and balanced

    operating conditions, the equivalent two-phase model of the sym-

    metrical DFIM, represented in a rotating dq reference frame fixed

    to the stator voltage vector, is given by[4]

    disdt

    xsJis xbJkr cis abkrbLrLsr

    us bur 1

    _kr xs xJkr aLsris akr ur 2

    J_xLsrLr

    iTsJkr Bx Tm 3

    where xs is the rotation speed for the reference frame, x is therotor speed, is= [is1, is2]

    T are the stator currents, kr= [kr1,kr2]T are

    the rotor fluxes, us and ur are the stator and rotor voltages,

    respectively, while the all positive parameters are given by

    aRrLr

    ; bLsrl

    ; c1

    lRsL

    2r RrL

    2sr

    Lr

    !

    withl LsLr L2sr and

    J 0 1

    1 0

    JT

    HereLs,Lrare stator and rotor proper inductances, Lsris the mutual

    inductance, Rs,Rrare the winding resistances, Jis the inertia coeffi-

    cient,B is the damping coefficient andTmis the applied mechanical

    torque.

    Considering the flux vector k Lei with k kTs; k

    Tr

    Tand

    i iT

    s

    ; iT

    rh i

    T

    , whereksare the stator fluxes andirthe rotor currents,

    while

    Le LsI2 LsrI2

    LsrI2 LrI2

    ; I2

    1 0

    0 1

    4

    model(1)(3)can be equivalently written as

    _ks xsLsJis xsLsrJir Rsis us 5

    _kr xs xLsrJis xs xLrJir Rrir ur 6

    J_x LsriTsJir Bx Tm 7

    Remark 1. Under generator operation of the DFIM, Tmis the torque

    delivered to the machine by a controlled primary mover while

    TgLsriTsJiris torque produced by the machine itself. In this paper

    it is considered that Tm is constant, assumption that is not

    restrictive since usually the primary mover is equipped with a

    speed controller[16].

    Remark 2. From a controller design perspective, one advantage

    exhibited by the DFIM is that the complete state vector is measur-

    able, i.e. mechanical speed and both stator and rotor currents can

    be used to structure of the control scheme.

    2.2. Power control problem

    From the generated power viewpoint, model (5)(7) exhibits

    the following structure if it is assumed that the stator terminals

    are connected to an infinite bus with voltage magnitudeUand fre-

    quency determined byxs. Active P and reactive Qpower at thestator side are given by

    Pab ITs Vs; Qab I

    TsJVs

    where Is and Vs are the vectors of stator currents and voltages,

    respectively, in the natural ab reference frame for the inductionmachine.3 In the dq reference frame considered for representing

    the machine model, these expressions take the form

    P Uis1; Q Uis2 8

    which clearly exhibit the advantage of the representation, since

    control of the active and reactive power can be carried out by con-

    trolling each of the components of the stator current vector is.

    Taking into account the information presented above, the con-

    trol problem solved in this paper can be stated as.

    Consider the DFIM model given by (5)(7). Assume that

    A.1 The mechanical speed and both stator and rotor currents are

    available for measurement.

    A.2 The torque delivered by the prime mover is constant andknown.

    A.3 The model parameters are known.

    A.4 Stator voltages have fixed frequency and amplitude, i.e.

    stator windings are directly connected to the line grid.

    Under these conditions, design a control law for the rotor

    voltagesur= ur(is, ir,x) such that

    limt!1

    P PI; limt!1

    Q QI

    with the desired power defined by PI, QI, guaranteeing internal

    stability.

    3 In theabreference frame the stator variables are represented in a fixed reference

    frame while the rotor variables are expressed with respect to a reference frame thatrotates at an angular speed given by x [4].

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    2.3. Solvability analysis

    Once the control problem has been stated, this section is

    devoted to analyze under which conditions it is possible to find a

    viable solution. This analysis is carried out by studying the behav-

    ior of the machine operating in steady state conditions with the

    aim to identify the required values that must be reached by the

    state variables of the system in order to achieve the desired oper-

    ation. From a stability viewpoint, this procedure corresponds to

    identify, among the different equilibrium points of the dq model,

    the assignable equilibrium points, i.e. those that satisfy the im-

    posed conditions. From a controller design perspective, identifying

    these points has the additional advantage of establishing the

    desired operation point that must stabilized in order to succeed

    in the solution of the control problem.

    The equilibria of system (5)(7) are determined by the set of

    algebraic equations given by

    xsJisI xsLsrJirI RsisI us 0 9

    xs xILsrJisI xs xILrJirI RrirI urI 0 10

    LsriT

    sIJirI BxI Tm 0 11

    where the subindex q stands for the value of the variables under

    equilibrium operation. Notice that under the stated assumptions

    us andTm remain constant.

    The first point to be noticed is that, due to the existence of the

    control input given by the rotor voltages ur, Eq.(10)can always be

    satisfied by a proper choice of this variable. Thus, the analysis must

    be concentrated in Eqs.(9) and (11). On the other hand, from Eq.

    (8)it is clear that for a prescribed value of the active and reactive

    powers, given byPI andQIrespectively, the corresponding stator

    currents are given by

    isI 1

    U

    1 0

    0 1

    " # PI

    QI

    " # 12

    sinceus= [U, 0]T.

    With the desired values for the stator currents, it is easy to

    obtain, from(9), the value of the rotor current irq that must be

    achieved as

    irI 1

    xsLsrJTxsJ RsI2isI us

    1

    xsLsrxsI2 RsJisI J

    Tus 13

    where it was used the fact that JTJ=JJT = I2.

    The final step, which is related with the computation of the

    required rotor speedxq, is carried out by substituting Eq.(13) into(11)to obtain that

    xI 1Bxs

    iTsIJxsI2 RsJTisIJTus Tm

    B

    1

    BxsPI RskisIk

    2

    TmB

    14

    sinceJJ = I2 andkisIk2 i

    TsIisI, withk k the Euclidean norm.

    Even that from a mathematical perspective Eqs. (12)(14)

    clearly state the conditions that must be satisfied in order to

    achieve a given power in the stator side of the machine, from a

    practical point of view several conditions must be taken into

    account in order to solve the stated control problem, namely:

    C.1 Given a desired power behavior (in terms of a given isq) it

    must be considered the capacity of the machine concerning

    the nominal rotor current that can be managed, i.e. careful

    selection must be done in order to avoid demanding a rotor

    current beyond the limits imposedby the construction of the

    DFIM. This constraint is also related with the size of the

    power converter required to operate the machine.

    C.2 Eq.(14) exhibits the power balance that must be satisfied by

    the machine. In this sense, for a given torqueTm, selection of

    the desired active power (and the associated losses) will

    determine the speed under which the machine must oper-

    ate. In the same spirit than the mentioned in the previous

    condition, the limits imposed by the physical structure of

    the DFIM must be taken into consideration.

    3. Stabilization mechanism

    In this section it is presented the proposed controller that ren-

    ders asymptotically stable the assignable equilibrium point intro-

    duced in Section2.3. The design is carried out under a passivity-

    based approach[17,18], i.e. by exploiting the energy dissipation

    properties of the machine, due to the attractive results previously

    obtained solving power systems related problems, e.g. [1921].

    The section starts by briefly recalling the rational behind the design

    approach to continue with the presentation of the controller.

    3.1. Passivity-based control

    The problem of stabilizing an equilibrium point of nonlinear

    systems of the form

    _x fx; t gxu

    wherex 2 Rn is the state vector,u 2 Rm (m< n) is the control action

    andg(x) is assumed full rank, is approached from the Interconnec-

    tion and Damping Assignment-Passivity Based Control (IDA-PBC)

    perspective by finding a control lawu(x) that leads to a closed-loop

    system of the form

    _x Fdx@Hdx

    @x 15

    whereFdx FTdx 6 0 andHd(x)P 0 is a scalar (energy) function,which satisfies the condition

    xI arg min Hdx

    with xq the equilibrium to be stabilized.4

    A system with structure like the introduced in(15)is known as

    a Hamiltonian system, and the aim of achieving such structure is

    that it enjoys several properties [23]. Among them, one that is

    quite important from the stability point of view is related with

    the fact that ifHd(x) is considered as Lyapunov function of the sys-

    tem, then its time derivative along the trajectories of(15)is given

    by

    _Hd @Hdx

    @x T

    Fdx FTd x

    @Hdx

    @x

    allowing for the possibility of proving the asymptotic stability prop-

    erties ofxq [22], due to the negativeness ofFdx FTdx.

    A particular case, that will be exploited in this paper, is when

    Hd(x) is linear, i.e. is a quadratic function of the form

    Hdx 1

    2xTPx

    with P= PT > 0 a symmetric positive definite matrix. Under these

    conditions

    @Hdx

    @x Px

    4 Notice that the gradient of the scalar function Hd(x), given by@H

    dx@x , is considered

    as a column vector throughout the paper.

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    and therefore

    _Hd xTP Fdx F

    Tdx

    Px

    guaranteeing automatically the asymptotic stability of xq if

    Fdx FTdx < 0.

    3.2. Controller design

    In order to apply the IDA-PBC approach, it is convenient at this

    point to recall that the total energy stored by the DFIM is given by

    Hz 1

    2zTL1z

    where L diagfLe;Jg while z= [kT,Jx]T. Thus, a natural candidate

    for the desired energy function of the closed-loop system is

    Hdz 1

    2zzI

    TPdzzI

    withPd PTd >0 andzI k

    TI;JxI

    T, wherekI LeiI. As required,

    this function has a minimum in zzq = 0, i.e. when k = kq and

    x = xq, the former implying that the minimum is achieved when

    i= iq

    .If the matrix Pd has the following structure

    Pd

    psI2 0 0

    0 prI2 0

    0 0 pm

    264

    375

    withps, prandpm positive constants (to be defined latter) and the

    matrix Fd(z) is partitioned in a conformal way as

    Fdz

    F11z F12z F13z

    F21z F22z F23z

    F31z F32z F33z

    264

    375

    then the desired closed-loop system(15)takes the form

    _z FdzPdzzI FdzPdLe 16with

    e

    es

    er

    em

    264

    375

    is isI

    ir irI

    x xI

    264

    375

    which (after carrying out all the required computations) can be

    written as

    _z

    LspsF11 LsrprF12 LsrpsF11 LrprF12 JpmF13

    LspsF21 LsrprF22 LsrpsF21 LrprF22 JpmF23

    LspsF31 LsrprF32 LspsF31 LsrprF32 JpmF33

    264

    375e 17

    In order to find the structure ofFd(z) and the values forps,prand

    pmthat satisfy the required conditions, consider the first constraintgiven in terms of the stator flux dynamics(5)as

    xsJis xsLsrJir Rsis us LspsF11 LsrprF12es LsrpsF11

    LrprF12er JpmF13em

    This equation, under the value obtained for usfrom the equilib-

    rium Eq.(9)can be written as

    xsJ RsI2es xsLsrJer LspsF11 LsrprF12es LsrpsF11

    LrprF12erJpmF13em

    leading directly to the solution given byF33= 0 and

    F11

    F12

    LspsI2 LsrprI2

    Lsr

    prI

    2 L

    rp

    rI

    2

    1 xsJ RsI2

    xsL

    srJ 18

    Concerning the second constraint, obtained from the rotor flux

    dynamics (6), the presence of the control input u r allows for the

    possibility of satisfying the corresponding equation no matter the

    value ofFd(z),ps,prandpm. In fact, taking advantage of this facility,

    an useful choice for the corresponding components of the matrix

    Fd(z) (whose usefulness will be better recognized during the stabil-

    ity analysis) is given by

    F21 FT12; F23 F

    T32; F22

    kr2pr

    I2 19

    withkra gain (to be defined later).

    Once the second constraint has been studied, the attention

    must be concentrated in the third one, imposed by (7) and given as

    LsriTsJir Bx Tm LspsF31 LsrprF32es LspsF31 LsrprF32er

    JpmF33em

    Again, exploiting the value obtained for Tmfrom the equilibrium

    Eq.(11), this last expression can be presented as

    LsriTsJir Lsri

    TsIJirI Bem LspsF31 LsrprF32es LspsF31

    LsrprF32erJpmF33em

    from which it can immediately recognized the necessity for having

    F33 B

    Jpmand leading to the expression

    LsriTsJir Lsri

    TsIJirI LspsF31 LsrprF32es LspsF31 LsrprF32er

    After substitution of the errors esanderin the left-hand side of

    this last expression and manipulating it in a proper way, it can be

    rewritten as

    eTs eTr

    T psFT31prF

    T32

    " # LsrL

    1e

    JirI

    Jis

    ( ) 0

    from, where a possible solution forF31and F32could be obtained by

    letting the term in the brackets equal to zero. Unfortunately, this

    solution is not useful sinceF31would depend on the stateis, feature

    that (as will be clear later) does not allow for achieving the desiredstability properties. Therefore it is necessary to write this condition

    in an equivalent way given by

    eTs eTr

    T psFT31prF

    T32

    " # LsrL

    1e

    JirI

    Jis

    Gz

    ( )0

    provided that

    eTs eTr

    TGz eTs e

    Tr

    T G1zG2z

    0

    Under these conditions, if

    Gz LsL

    2sr

    l Jes L3srl Jer

    L3

    srl Jes L

    rL2

    srl Jer24 35

    withl as in the DFIM model, then

    F31 Lsrlps

    kTrIJ; F32

    Lsrlk

    TsJ 20

    are solutions of the constraint.

    Until this point, putting together the results obtained in (18)

    (20), it has been obtained a matrix Fd(z) that satisfies Eq. (16)for

    the given structure ofPd. Indeed, this matrix is given by

    Fdz

    1ps

    xsJ LrRsl I2

    LsrRs

    lprI2 0

    LsrRslpr I2 kr2pr

    I2Lsrl J

    Tks

    Lsr

    lpskTrIJ

    Lsr

    l

    kTsJ B

    Jpm

    26664

    37775

    21

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    With matrix(21)at hand, then the remaining task is to find the

    conditions for guaranteeing thatFdz FTd z 6 0. To this end, con-

    sider that under the structure ofFd(z) given above, it is obtained

    that

    Fdz FTdz

    2LrRslpsI2 0

    Lsrlps

    JTkrI

    0 krpr

    I2 0

    Lsrlps kTrIJ 0 2BJpm

    2

    664

    3

    775where the advantage of choosing the skew-symmetric terms in the

    design ofFd(z), in particular the feature of leaving the element F33depending only on the constant value krq, is now evident, since

    using the standard tool given by the Schur complement it is possi-

    ble to prove that the required condition Fdz FTdz < 0 is achieved

    if

    ps > JL2sr4BlLr

    kkrIk2

    !pm 22

    Under the condition found for the parameters psandpm, all the

    elements that are necessary for implementing the control law are

    at disposition. Then from(6) and the corresponding row of (16),

    it is possible to state the following

    Result 1. Consider the DFIM model (5)(7) and assume thatA.1 to

    A.4hold. Let the rotor control input be given as

    ur xs xJLsris Lrir Rrir psF21Lses Lsrer

    prF22Lsres Lrer JpmF23em 23

    where

    F21 LsrRslpr

    I2; F22 kr2pr

    I2; F23Lsrl

    JTLsis Lsrir

    while kr> 0, pr> 0, pm> 0 and

    ps >

    JL2sr4BlLr kLsrisI LrirIk

    2 !pm

    Define the equilibrium point of the closed-loop as

    isI 1

    U

    1 0

    0 1

    PI

    QI

    irI 1

    xsLsrxsI2 RsJ

    TisI JTus

    xI 1

    BxsPI RskisIk

    2 TmB

    Under these conditions, it is achieved that

    limt!1

    P PI; limt!1

    Q QI

    guaranteeing internal stability.

    Remark 3. As pointed out in[15],the structure of the presented

    controller can be further simplified, from a tuning point of view,

    by defining

    ks psLsrRslpr

    ; km pmJLsrlpr

    since, under these conditions, the controller takes the form

    ur xs xJLsris Lrir Rrir ksLses Lsrer krLsres Lrer

    kmJLsis Lsrirem

    with kr> 0,km> 0 and

    ks > L2sr4BlLr

    kLsrisI LrirIk2

    !km

    4. Controller evaluation

    The usefulness of the presented control scheme is analyzed inthis section. This analysis is divided into two parts, namely: First,

    Table 1

    DFIM parameters.

    Rs= 4.92[X]

    Rr= 4.42[X]

    Ls= 0.725[H]

    Lr= 0.715[H]

    Lsr= 0.71[H]

    J= 0.00512[kg m2]

    B= 0.005[N m/rad/s]

    0 0.1 0.2 0.31

    0

    1

    2x 10

    4

    Ps[W]

    Time [s]

    0 0.1 0.2 0.34

    3

    2

    1

    0

    1x 10

    4

    Qs[VAR]

    Time [s]

    0 0.1 0.2 0.35

    0

    5

    10

    15

    20

    x 104

    Pr[W]

    Time [s]

    0 0.1 0.2 0.32

    0

    2

    4

    6

    8

    x 104

    Qr[VAR]

    Time [s]

    Fig. 1. Stator and rotor powers forPI 1750:7W,QI 0VARwith zero initial

    conditions.

    0 1 2 3 4 5 60

    50

    100

    150

    200

    250

    w[rad/s]

    Time [s]

    Fig. 2. Mechanical Velocity for PI 1750:7W, QI 0VAR with zero initial

    conditions.

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    the stability properties of the control law are numerically evalu-

    ated. It is illustrated how, as predicted by the theory, all the vari-

    ables converge to their desired values both, under an extreme

    operation regime (zero initial conditions) and under a more realis-

    tic condition (non-zero initial conditions). Second, for several oper-

    ation regimes the corresponding values for the rotor and speed

    variables are given with the aim to evaluate if the requirements

    imposed by the controller operation are feasible to achieve in a

    practical setting. This evaluation procedure was carried out under

    the MATLAB/Simulink environment.

    Throughout all the operation conditions, there were considered

    the same machine parameters, which are included inTable 1, the

    same controller gainsks= 1700, kr= 1000 andkm= 0.18, while the

    infinite bus was modeled in such a way that the amplitude of the

    stator terminal voltages was fixed at U= 220[V].

    To illustrate the stability (convergence) features exhibited by

    the control law, it is first considered the case when it is demanded

    some amount of active power in the stator side with zero reactive

    power. With the aim to evaluate the scheme under drastic condi-

    tions, it was assumed that the generator was at standstill (all the

    initial conditions were set to zero). In this case, the reference for

    the stator active power was PI 1750:7Wwith a desired stator

    power factor PFsq= 1 while the mechanical torque was kept at

    Tm= 5[Nm]. From Figs. 14 the stator and rotor powers, the

    mechanical speed, the stator and rotor currents and a phase

    voltage of the stator and rotor are shown, respectively. In all these

    pictures it can be shown how the desired behavior is achieved in a

    very short time. It is also clear that a transient response of consid-

    erable magnitude is exhibited, but this behavior is due to the

    stringent initial conditions imposed to the generator, as will be

    clear in the next experiments when a more practical situation is

    considered.

    A second experiment, as well as the first one more oriented to

    stress the stability properties of the control scheme, is presented

    from Figs. 58. In this case the reference for the stator active power

    was PI 1400:6W while for the reactive power was

    QI 1050:4VAR, with a desired reactive power of PFsq= 0.8

    0 0.1 0.2 0.320

    10

    0

    10

    20

    30

    isd[A]

    Time [s]

    0 0.1 0.2 0.320

    0

    20

    40

    60

    isq[A]

    Time [s]

    0 0.1 0.2 0.330

    20

    10

    0

    10

    20

    ird[A]

    Time [s]

    0 0.1 0.2 0.3

    60

    40

    20

    0

    20

    irq[A]

    Time [s]

    Fig. 3. Statorand rotor currents for PI 1750:7W, QI 0VAR withzero initial

    conditions.

    0 2 4 6

    215

    220

    225

    230

    Vsd[V]

    Time [s]

    0 2 4 62

    1

    0

    1

    2

    Vsq[V]

    Time [s]

    0 2 4 60

    100

    200

    300

    400

    500

    Vrd[V]

    Time [s]

    0 2 4 62000

    1500

    1000

    500

    0

    500

    Vrq[V]

    Time [s]

    Fig. 4. Statorand rotor voltages for PI 1750:7W, QI 0VARwith zero initialconditions.

    0 0.1 0.2 0.31

    0

    1

    2x 10

    4

    Ps[W]

    Time [s]

    0 0.1 0.2 0.34

    3

    2

    1

    0

    1x 10

    4

    Qs[VAR]

    Time [s]

    0 0.1 0.2 0.35

    0

    5

    10

    15

    20x 10

    4

    Pr[W]

    Time [s]

    0 0.1 0.2 0.3

    0

    2

    4

    6

    8x 10

    4

    Qr[VAR]

    Fig. 5. Stator and rotor powers forPI 1400:6W,QI 1050:4VAR with zero

    initial conditions.

    0 1 2 3 4 5 60

    50

    100

    150

    200

    250

    300

    350

    400

    w[rad/s]

    Time [s]

    Fig. 6. Mechanical Velocity for PI 1400:6W, QI 1050:4VAR with zeroinitial conditions.

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    and considering a mechanical torque ofTm= 5[Nm]. In the same

    way than in the first experiment, the convergence properties of the

    controller are well illustrated. Again, the same remark than in the

    previous experiment concerning the considerable transient

    response applies.With the aim to further evaluate the controller scheme consid-

    ering not only its stability but also its performance properties, the

    two additional experiments were carried out now considering a

    more realistic operation. To this end, instead of considering the

    limit case of having zero initial conditions, it was considered that

    the system operates under some given conditions and a step

    change in the required power is imposed, i.e. different from zero

    initial conditions were considered. In the first case, it was required

    that the stator active power passes from an initial value of

    PI 2100W to a final one ofPI 1750Wwhile the reactive

    power changes from an initial value ofQI 300VARto a desired

    value of QI 0VAR. The desired behavior considered a unitary

    power factor and the mechanical torque was set to Tm= 5[Nm].

    Fig. 9presents the stator and rotor powers evolution, where it canbe noticed how the required values are achieved in around 3 s,

    while inFig. 10the corresponding mechanical speed is exhibited.

    InFig. 11both the stator and rotor currents are included. In these

    last three pictures, it can be noticed that although the currents

    exhibit some transient response, its magnitude is now reasonable

    in a practical context, as well as the required speed. This remarkis also applicable to the demanded rotor voltages which are

    included inFig. 12together with the stator voltages.

    The second case under this non-zero initial conditions scenario,

    was devoted to the case when the final operation conditions

    involve a non-zero reactive power value. In this case the initial

    conditions were set in such a way that generator was operating

    atPI 1250W withQI 1150VAR while the final desired

    value for the power was PI 1400W with QI 1050VAR.

    The considered power factor was PFsq = 0.8 and the mechanical

    torque wasTm= 5[Nm]. The dynamic behavior of the generator

    variables are exhibited in Fig. 13for the stator and rotor powers,

    Fig. 14for the mechanical speed, Fig. 15 for the stator and rotor

    currents andFig. 16for the stator and rotor voltages. In all of them

    it can be noticed how the desired behavior is achieved underreasonable transient values for all the variables.

    0 0.1 0.2 0.3

    20

    10

    0

    10

    20

    30

    isd[A]

    Time [s]0 0.1 0.2 0.3

    20

    0

    20

    40

    60

    isq[A]

    Time [s]

    0 0.1 0.2 0.330

    20

    10

    0

    10

    20

    ird[A]

    Time [s]

    0 0.1 0.2 0.360

    40

    20

    0

    20

    irq[A]

    Time [s]

    Fig. 7. Stator and rotor currents forPI 1400:6W,QI 1050:4VARwith zero

    initial conditions.

    0 2 4 6

    215

    220

    225

    230

    Vsd[V]

    Time [s]0 2 4 6

    2

    1

    0

    1

    2

    Vsq[V]

    Time [s]

    0 2 4 6200

    0

    200

    400

    Vrd[V]

    Time [s]

    0 2 4 62000

    1500

    1000

    500

    0

    500

    Vrq[V]

    Time [s]

    Fig. 8. Stator and rotor voltages forPI 1400:6W,QI 1050:4VARwith zero

    initial conditions.

    0 2 4 6

    2500

    2000

    1500

    1000

    Ps[W]

    Time [s]0 2 4 6

    1000

    500

    0

    500

    1000

    Qs[VAR]

    Time [s]

    0 2 4 6500

    1000

    1500

    2000

    2500

    Pr[W]

    Time [s]

    0 2 4 60

    500

    1000

    1500

    Qr[VAR]

    Time [s]

    Fig. 9. Stator and rotor powers for PI 1750W, QI 0VAR with non-zero

    initial conditions.

    0 1 2 3 4 5 640

    60

    80

    100

    120

    140

    160

    180

    200

    220

    w[rad/s]

    Time [s]

    Fig. 10. Mechanical Velocity for PI 1750W,QI 0VARwith non-zero initial

    conditions.

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    The second part in the evaluation of the presented controller

    includes several operation conditions that are presented in a

    compact way in Table 2. Concerning the procedure followed for

    carrying out this part of the evaluation, it was assumed that thegenerator always fed active power into the grid while there were

    considered two conditions for the reactive power: when the DFIM

    operates as a capacitor (delivering reactive power to the grid) and

    when it operates as an inductive load (demanding reactive power

    from the grid). In all these cases the system was simulated for dif-

    ferent values of the power factor including both lagging and lead-

    ing values. To achieve these operation conditions, as in the

    previous experiments, once the desired value for power (PI and

    QI) was defined, the corresponding components of the desired sta-

    tor currents were computed to later on obtain the corresponding

    desired rotor current and speed, i rq andxq respectively. Lookingfor an uniform evaluation context, the components of the desired

    stator current vector were defined in such a way that the magni-

    tude of this vector was kept at the same value in all the experi-ments, i.e. the condition that k isqk

    2 = 2.6[A] always was satisfied.

    In addition, variation of the delivered mechanical torque was also

    considered.

    In the first six columns ofTable 2 are presented the required

    behavior in terms of the applied mechanical torque, the desiredpower factor, () Lagging, (+) Leading, the desired power (active

    and reactive) and the fixed conditions considered for the infinite

    bus. The second part is devoted to present the conditions that

    are necessary to match in the rotor side of the machine in order

    to achieve the desired conditions. Here negative values of power

    represent active or reactive power supplied by the stator or the

    rotor and positive values represent the amount of power that they

    demand. The voltages and currents correspond to therms magni-

    tude of one of the phases while the last column stands for the slip

    frequency, i.e. the difference between the actual and the synchro-

    nous speeds in steady-state. It must be noticed that after conver-

    gence of the actual variables to the desired ones, the values

    included for the stator and rotor currents and the mechanical

    speed, correspond to the computed from Eqs.(18)(20), neverthe-less, they are included for completeness purposes.

    0 2 4 6

    3.5

    3

    2.5

    2

    1.5

    isd[A]

    Time [s]0 2 4 6

    1

    0.5

    0

    0.5

    1

    isq[A]

    Time [s]

    0 2 4 61.5

    2

    2.5

    3

    3.5

    ird[A]

    Time [s]

    0 2 4 62

    1.5

    1

    0.5

    0

    irq[A]

    Time [s]

    Fig. 11. Stator and rotor currents for PI 1750W, QI 0VAR with non-zero

    initial conditions.

    0 2 4 6

    215

    220

    225

    230

    Vsd[V]

    Time [s]

    0 2 4 62

    1

    0

    1

    2

    Vsq[V]

    Time [s]

    0 2 4 650

    100

    150

    200

    250

    Vrd[V]

    Time [s]

    0 2 4 610

    0

    10

    20

    30

    40

    Vrq[V]

    Time [s]

    Fig. 12. Stator and rotor voltages for PI 1750W, QI 0VAR with non-zero

    initial conditions.

    0 2 4 61700

    1600

    1500

    1400

    1300

    1200

    Ps[W]

    Time [s]

    0 2 4 61300

    1200

    1100

    1000

    900

    800

    Qs[VAR]

    Time [s]

    0 2 4 6500

    400

    300

    200

    100

    0

    Pr[W]

    Time [s]

    0 2 4 6800

    600

    400

    200

    Qr[VAR]

    Time [s]

    Fig. 13. Stator and rotor powers for PI 1400W, QI 1050VAR with non-

    zero initial conditions.

    0 1 2 3 4 5 6360

    370

    380

    390

    400

    410

    420

    430

    w[rad/s]

    Time [s]

    Fig. 14. Mechanical Velocity for PI 1400W, QI 1050VAR with non-zero

    initial conditions.

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    The usefulness of the information included inTable 2is mainly

    concentrated in the information concerning the rotor side of the

    machine. It can be viewed from two different perspectives. The

    first one is related with conditions C.1 andC.2 introduced in Sec-

    tion2.3. In this sense, all the values obtained for the motor vari-

    ables could be used to identify safe operation regimes in terms of

    the nominal characteristics of the rotor side when an specific DFIM

    is analyzed. The information can be used to conclude if it is possi-

    ble or not to achieve a given amount of desired generated power.

    The second point of view refers to the possibility of using this

    information from a design perspective. If the analysis is carried

    out without considering any specific machine, then the informa-

    tion could be used to carry out a proper selection of both, the gen-

    erator by itself and the size of the converter that must be

    implemented for feeding the rotor windings.

    In the particular numeric example considered inTable 2, from

    the information provided by the column that displays the mechan-

    ical speed, it can be concluded that for a proper operation of the

    scheme it is not necessary to consider something else but a stan-

    dard prime mover, since the speed values required under the sev-

    eral operation conditions can be reached with a standard device for

    the corresponding power requirements.

    Concerning the power converter that must be considered for

    equipping the generator, its structure is mainly defined by the

    power that it must handle and the frequency at which it must

    operate, i.e. the information contained in the last three columns

    ofTable 2. In this context it is important to recognize that having

    positive and negative values of the slip frequency (which means

    the necessity for operating at both sub and super-synchronous

    speeds) implies that the converter must be able to change the rotor

    phase sequence. Moreover, since there are also positive and nega-

    tive (active and reactive) rotor powers, then it will be also required

    a bidirectional operation for this device. Fortunately, these charac-

    teristics are easily fulfilled with standard back to back converters

    and the only point that is necessary to study is the size that is

    related with the switching frequency operation and the power

    capacity. However, even from this perspective, the required valuesfor all the operation regimes can be easily managed with a

    standard converter of reasonable size.

    The only point that must be treated with more detail is related

    with the required rotor current. As can be seen in the correspond-

    ing column of the table, the required value of this variable in-

    creases when both active and reactive power is delivered to the

    grid. This fact generates the necessity for considering a DFIM capa-

    ble of working under this demanded current. However, even that

    this is the major limitation of the scheme, achieving values of

    0 2 4 6

    2.6

    2.4

    2.2

    2

    1.8

    isd[A]

    Time [s]0 2 4 6

    1.4

    1.6

    1.8

    2

    isq[A]

    Time [s]

    0 2 4 61.8

    2

    2.2

    2.4

    2.6

    ird[A]

    Time [s]

    0 2 4 63.2

    3

    2.8

    2.6

    2.4

    2.2

    irq[A]

    Time [s]

    Fig. 15. Stator and rotor currents for PI 1400W, QI 1050VAR with non-

    zero initial conditions.

    0 2 4 6

    215

    220

    225

    230

    Vsd[V]

    Time [s]

    0 2 4 62

    1

    0

    1

    2

    Vsq[V]

    Time [s]

    0 2 4 680

    60

    40

    20

    Vrd[V]

    Time [s]

    0 2 4 625

    20

    15

    10

    Vrq[V]

    Time [s]

    Fig. 16. Stator and rotor voltages for PI 1400W, QI 1050VAR with non-

    zero initial conditions.

    Table 2

    DFIM response to fixed stator power exchange.

    Tm [N-m] PFsq Psq [W] Qsq [VAR] isa [A] usa [V] ira [A] ura [V] x [rad/s] Pr[W] Qr[VAR] fr[H]

    4.5 0.8 1400.6 1050.4 2.6 220 2.28 47.48 261.2 322.9 43.2 8.42

    5 0.8 1400.6 1050.4 2.6 220 2.28 23.43 361.2 156.1 38.4 7.49

    5.5 0.8 1400.6 1050.4 2.6 220 2.28 94.17 461 635.2 120.1 23.41

    4.5 0.9 1575.6 763.1 2.6 220 2.47 102.63 186.9 761.6 22.2 20.25

    5 0.9 1575.6 763.1 2.6 220 2.47 30.55 286.9 226.8 4.7 4.33

    5.5 0.9 1575.6 763.1 2.6 220 2.47 41.52 386.9 308 12.7 11.48

    4.5 1.0 1750.7 0 2.6 220 2.90 162.28 112.6 1302 557.4 32.07

    5 1.0 1750.7 0 2.6 220 2.90 87.66 212.6 711.8 280.8 16.16

    5.5 1.0 1750.7 0 2.6 220 2.90 13.89 312.6 121.2 4.2 0.24

    4.5 0.9 1575.6 763.1 2.6 220 3.28 108.08 186.9 823.3 675.3 20.25

    5 0.9 1575.6 763.1 2.6 220 3.28 32.76 286.9 288.5 144.5 4.33

    5.5 0.9 1575.6 763.1 2.6 220 3.28 46.49 386.9 246.2 386.3 11.58

    4.5 0.8 1400.6 1050.4 2.6 220 3.41 51.30 261.2 407.9 330.7 8.42

    5 0.8 1400.6 1050.4 2.6 220 3.41 29.55 361.2 71.1 294.3 7.49

    5.5 0.8 1400.6 1050.4 2.6 220 3.41 104.62 461.2 550.2 919.2 23.41

    I. Lpez-Garca et al./ Electrical Power and Energy Systems 45 (2013) 303312 311

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    around 3.5[Arms] can be considered yet under a reasonable limit for

    a DFIM as the considered for the numerical evaluation.

    5. Concluding remarks

    It was shown in this paper that the controller proposed in[15]

    can be directly applied in order to solve the stator-side power reg-

    ulation control problemof DFIM. This conclusion is valid for both, adynamic performance scenario and a practical implementation

    perspective. The procedure followed for evaluating the control

    scheme involved typical operation conditions for a generator of

    the approached kind and the obtained results allowed for the illus-

    trating the stability (convergence) properties of the control law,

    including stringent (zero initial conditions) and more practical

    conditions (non-zero initial conditions). In addition, it was shown

    that for all the operation regimes the structural requirements for

    the generator as well as for the power converter required to oper-

    ate the machine, correspond to standard devices that can be easily

    obtained in a practical context. It remains to develop a deeper

    research work with the aim to relax the assumption of having a

    constant mechanical torque delivered by the prime mover in order

    to enlarge the possible applications of the proposed controller.

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