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    OPTIMISED POWER FLOW ON WIND POWER PLANTS WITH THE

    DOUBLY FED INDUCTION GENERATOR

    Balduino Rabelo, M.Sc. Wilfried Hofmann, Prof. Dr.

    Chemnitz Technical University

    Faculty of Electrical Engineering

    Department of Electrical Machines and Drives

    Reichenhainerstrasse 7009127 Chemnitz Germany

    Tel: +49 371 5313586/3323 Fax: +49 371 5313324

    email: [email protected] [email protected]

    http://www.tu-chemnitz.de

    Abstract. Abstract In this work the efficiency of the electrical part of a wind generation system is

    studied. A wound rotor induction machine is used with two back-to-back converters on the rotor

    circuit in an slip power recovery scheme. The slip control results in an operating speed range that

    suits the wind energy generation requirements. The vector-controlled doubly fed induction generator

    (DFIG) enables the decoupling between active and reactive power as well as between torque and

    power factor. The losses in the machine copper and those originating in the converters are calculated

    and a loci of the optimal points inside the operation range is derived. Therefore, besides the optimal

    speed tracking for maximal wind energy conversion, an optimal control strategy for the two

    converters is developed. This strategy aims to minimise the electrical losses and is based on the

    control of the reactive power flow of the system. The harmonic losses as well as those of the core and

    the LC-filter have not been taken into consideration.

    Keywords: Renewable energy systems, induction machines, SVC (static Var compensation),

    optimisation.

    1. INTRODUCTIONThe wound rotor induction machine presents some

    advantages in its use as a generator in wind power plants as

    described in [1]. From an economical point of view, in the

    case of wind generation, the losses on the system play an

    important role. In an induction machine the efficiency is

    mainly influenced by the copper losses on the rotor,

    modelled by the rotor resistance. That is, the smaller the

    slip, the smaller these losses. In the case of the DFIG, the

    slip can be controlled and it is of particular importance that

    the static converters between the mains and the rotor circuit

    can be dimensioned in such a way that only a small part of

    the entire power, that is to say the slip power, flowsthrough the rotor. This also enables the improvement of the

    overall efficiency, because of the substantial converter

    losses. By means of a LC-filter one can produce

    (capacitive) reactive power and, under certain operating

    conditions, influence the mains voltage and the power

    factor. The machine supplies active power to the network

    (over-synchronous operation) or is fed from the network

    (sub-synchronous operation) through the rotor [2], [3]. A

    short overview of the system can be seen in the second part

    of this work, and the control principles are derived in [4].

    For larger systems, in the MW range, it is necessary to

    minimise these losses specified above. A 600 KW DFIG

    system was examined in [5] in relation to the minimal

    converter losses operating condition, whereas the machinelosses remained unconsidered. Sub-optimal values for

    reactive power division were implemented as a table for

    different conditions of operation.

    In this study the copper losses in the generator are

    calculated and both sub-optimal procedures, converter and

    machine minimal losses are compared. Additionally, the

    system total losses for the different operating points are

    calculated, as well as the optimal reactive power

    distribution. The latter in order to achieve the minimal total

    losses.

    2. DESCRIPTION OF THE SYSTEMThe generator slip-rings are connected to a rotor-side

    converter (RSC), which shares a DC-link with the mains-

    side converter (MSC) in a so-called back-to-back

    configuration. Both, RSC and MSC, can lead a third of the

    machine rated power. The AC-side of the MSC is connected

    through an LC-filter a three-phase capacitor bank and

    series inductances to the network, while the stator of the

    generator is connected to the network by a protective

    switch. The system diagram is shown in fig. 1.

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    Fig. 1. System overview

    The RSC controls the d and q-components of the rotor

    current that is the electromagnetic torque and the power

    factor. So the active and reactive power, which flow through

    the rotor and stator, can be controlled. The d-component of

    the MSC current feeds the DC-link voltage during under-

    synchronous operation and during over-synchronous

    operation energy is delivered to the mains. Additionally the

    reactive power requirement of the system and of the LC-

    filter is controlled by the q-component of the MSC current,and so the systems power factor can be influenced. The LC-

    filter has the function of damping the harmonics in the line

    current and supplying the capacitive reactive power

    necessary for the magnetisation process of the generator.

    This enables the system to operate at different power factors

    and therefore to fulfil the supply needs.

    3. MINIMAL COPPER LOSSESThe copper losses in the generator depend on the machine

    coil resistances and on the stator and rotor currents, as

    described in [6]

    ( ) ( )2222rqrdrsqsdsCu IIRIIRP +++= (1)

    To calculate the minimal copper loss, first the stator

    currents are represented as functions of the machine

    inductances, rotor currents and rated flux as in (2) and (3).

    rd

    s

    m

    sd IL

    LI

    = (2)

    rq

    s

    m

    s

    sq

    sq IL

    L

    LI

    = (3)

    Then these expressions are properly substituted in equation

    (1) and differentiated upon the q-component of the rotor

    current, as follows

    0= rqCu

    IP (4)

    With the previous computed value of the optimal q-

    component of the rotor current, the optimal q-component of

    stator current can be calculated, in a sense that both must

    build the machine rated flux.

    22

    mssr

    sqms

    rqLRLR

    LRI N

    OPT +

    = (5)

    OPT

    N

    OPT rq

    s

    m

    s

    sq

    sq IL

    L

    LI

    = (6)

    The machine parameters employed here are described in

    table 1 at the end of the paper. The curves showing the

    machine copper losses for different values of stator power

    factor and in relation to the d-axis stator current are plotted

    in fig. 2. It is noticeable here that for each value ofIsdor

    active power, there is one optimal value of stator power

    factor that minimises the generator losses. These optimal

    values are normally inductive due to this natural

    characteristic of the machine.

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    Fig. 2 Machine copper losses in relation to the d-axis

    stator currentIsd.

    The copper losses in percent related to the optimal values

    for different stator power factors can be seen in fig. 3.

    These curves are computed by expression (7).

    optCuCu

    CuCu

    PP

    PP

    = (7)

    Fig. 3 Copper losses in percent of the optimal losses

    Fig. 4 and 5 show, respectively, the optimal stator power

    factor curve and the generator efficiency in relation to

    active power range orIsd.

    Fig. 4 Optimal stator power factor versus currentIsd.

    Fig. 5 Generator efficiency .

    4. CONVERTERLOSSESIn order to calculate the converter losses, the followingmodel from [ 7] is used:

    )()()( DPTPTPP VSVSVDV ++= , (8)

    whereby Pv is the total loss on the converters, Pvd(T) and

    Pvs(T) are the conducting and switching losses of the used

    semiconductor, IGBT's in this case, respectively, and

    Pvs(D) correspond to the switching losses of the diodes.

    Further, expression (9) is so characterised:

    ++=2

    2

    12

    6 aCEacaCEV IrEIfIUP (9)

    whereby ,

    )()()(2

    1DoutToutTin eeeE ++= (10)

    In these equations (9) and (10) UCE is the collector-emittervoltage of the IGBT's, fc corresponds to the switching

    frequency, einand eoutthe turn on and off switching energy

    of the semiconductors and Ia the converter rms current.These parameters were obtained from the SEMIKRON

    Databook for semiconductors [8].

    In fig.6 one sees the copper and MSC energy dissipation by

    full load and for different power factors in relation to the

    reactive power dividing factor .

    ,n

    s

    Q

    Q= (11)

    where Qs and Qn are the reactive power values on the stator

    and on the network, respectively. The dashed line

    corresponds to the minimal copper losses in the generator.

    For each value of the power factor there is meets a certain

    value of, which minimises these losses.

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    Fig. 6 Machine Copper Losses

    The RSC losses have their minimal loss points near the

    minimal copper losses line whilst the MSC minimal losses

    occur on different points and are more significant than those

    of the RSC and the generator, as it is shown in fig. 7.Therefore it is meaningful to employ an optimisation of

    the MSC losses instead of the generator or the RSC. In

    fig. 8 one sees that this procedure gives the closest results to

    the minimal total losses.

    Fig. 7 MSC losses

    Fig. 8 Total losses

    The optimal values of, which minimise the total losses for

    different conditions, differ from the sub-optimal values,

    which optimise the machine copper losses. The former are

    closer to the sub-optimal values of, which minimise the

    MSC losses. With this interpretation one can then project

    the whole system.

    5. OPTIMAL SYSTEMLOSSESThe maximal wind energy density is found somewhere

    between the minimum and maximum power ratings. If the

    system operates under different values of active power, it is

    important to calculate the optimal values of for the whole

    power operating range.

    In fig. 9 to 11 one sees the surfaces representing the system

    losses in relation to the active power and , for values of

    slip and power factors. On these surfaces the locus of the

    points of minimum losses for each active power value is

    plotted. The diagrams show the copper, MSC converter

    losses and their specific minimum values (indicated by the

    thicker line), as well as the total minimum values. In

    addition one can also say that minimising the MSC loss is

    the procedure which most closely reaches the optimum for

    the entire operating range.

    Fig. 9 Total system losses in relation to the active power

    and

    Fig. 10 MSC losses in relation to the active power and

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    Fig. 11 Generator copper losses in relation to the active

    power and .

    The following diagram in fig. 12 illustrates the optimal

    values of for a certain slip and different values of thepower factor.

    Fig. 12 Locus of the optimal reactive power dividing

    factor.

    For small values of the active power the values of lead

    against infinite, which is to be expected, if the LC-filter

    supplies the necessary reactive power for magnetisation of

    the generator. These values can be implemented as a look-up table, as it is described in [7] for a sub-optimal method.

    These results were simulated for a 5 minutes time series of

    measured wind data for the real plant from [2], for the

    system working with 0.9 inductive power factor, and

    compared with the sub-optimal method of dividing the

    reactive power implemented in the generator control. This

    latter is based on fixed values of for each power factor

    and were derived from the optimal values for full load

    condition. It is clear that the optimal method shown here

    achieved better energy savings because it considers all load

    conditions to which the windmill is submitted regarding to

    the variation of wind.

    Figure 13 shows the speed on the generator axis as well as

    the developed electromagnetic torque and the input power

    for this wind time series. The torque values were computed

    from the speed versus torque characteristic of the

    WINDTEC 600 windmill [9].

    Fig. 13 Speed, electromagnetic torque and power input on

    the generator axis.

    The instantaneous gains on the system efficiency for

    optimal and sub-optimal reactive power dividing are

    compared on the figure 14.

    Fig. 14 Achieved efficiency values for both methods

    optimal and sub-optimal.

    In average for the simulated real time the optimal method

    efficiency was 98.8 % against 97.1 % of the sub-optimal

    method. Furthermore, it seems that the improvements are

    better for weak wind speeds. It is remarkable to say that the

    best results on improving the system efficiency occur for

    inductive operation of the plant and the optimal and sub-

    optimal methods have the same results for unity power

    factor.

    These results will be published on further works, where the

    annual energy production will be computed and so the

    impact on the costs of energy production will be analysed.

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    6. CONCLUSIONIn order to minimise the losses, which occur in the machine

    copper, there is an optimal stator power factor for each

    active power value. The network reactive power

    requirement is then fulfilled by the MSC converter and the

    LC filter.

    The fact that the minimisation of the copper losses

    regarding the system total losses is not optimal is evident.

    However, this is not negligible, if the life span of the

    generator is taken into account.

    The question arises as to whether it is or not worthwhile to

    use the system total loss optimisation procedure instead of

    the sub-optimal procedures. Furthermore, the expected

    improvements and their expenditure also need to be

    considered.

    The loss models used here are parameter dependent, and

    these parameters should correspond with reality, in order forthe optimisation to be successful. This calls for adaptive

    control and/or artificial intelligence schemes.

    In future work, the LC-filter losses as well as the harmonic

    losses will be considered as well as its dimensioning

    regarding not only the filtering characteristics but also

    system losses. The dynamic behaviour of the wind power

    plant will also be investigated. Thus the variation of the

    system states will be determined during changes in the

    operating conditions. This will allow for the development of

    suitable control strategies.

    7. REFERENCES[1] Leonhard. W.,Control of Electrical Drives, Springer-

    Verlag, Berlin,1985.

    [2] Hofmann,W., Thieme, A., Control of a Double-Fed

    Induction Generator for Wind-Power Plants, Proceedings

    of Power Quality, pp.275-282, May,1998.

    [3] Dittrich,A., Hofmann,W., Stoev,A., Thieme, A., Design

    and Control of a Wind Power Station with Double Fed

    Induction Generator, Proceedings of EPE97,pp.2723-2728, Trondheim,1997.

    [4] Quang,N.P., Dittrich,A., Thieme,A., Doubly-fed

    induction machine as generator: control algorithms with

    decoupling of torque and power factor, Electrical

    Engineering 80, pp 325-335, 1997.

    [5] Hofmann,W.,Optimal Reactive Power Splitting in Wind

    Power Plants Controlled by Double-Fed Induction

    Generator, Proceedings of AFRICON99, pp. 943-948,

    Cape Town, Sept. 1999.

    [6] Tang,Y., Xu,L.,A Flexible Active and Reactive PowerControl Strategy for a Variable Speed Constant Frequency

    Generating System, IEEE Trans. on Industry

    Applications,1993.

    [7] Hofmann, W., 'Blindleistungsoptimierte Regelung von

    Windkraftanlagen mit Doppeltgespeisten

    Drehstromgeneratoren', Fachtagung Leistungselektronik u.

    Intelligente Bewegungssteuerungen, LIBS99, pp.216-221,

    Magdeburg, March, 1999.

    [8] SEMIKRON 99 Power Electronics99

    [9] Windtec 600 Windmill Technical Data;

    http://www.windtec.tlk.co.at.co.at

    Parameter Value

    Power 600 KW

    Number of Poles 4

    Rs 3.6 m

    Rr 4.3 m

    Lls 0.680 mHLlr 0.865 mH

    Lm 5.4 mH

    Tab. 1 Machine Parameters

    THE AUTHORS

    Mr. Balduino Rabelo was born in

    Guanhaes, Brazil and got his B.Sc. and

    M.Sc. degrees in electrical engineering

    from the Federal University of Minas

    Gerais (UFMG) in 1992 and 1998,respectively. He is currently working

    towards his Ph.D. degree at the Technical

    University of Chemnitz. His research

    interests are control of induction machines and converters,

    parameter identification and renewable energy systems.

    Prof. Wilfried Hofmann was born in

    Dresden, Germany and got his Dipl.Ing.

    and Dr. Ing. degrees in electrical

    engineering at the TU Dresden in 1978

    and 1984, respectively. He is the

    Chairman of the Department of Electrical

    Machines and Drives at the Technical

    University of Chemnitz since 1992. His

    research interests are control of induction machines and

    converters, position control, magnetic bearings, hybrid

    electromechanical vehicles and renewable energy systems.

    ACKONWLEDGEMENT

    We would like to thank for the financial and technical

    support from the Deutsche Forschungsgemeinschaft (DFG)

    and from the Department of Electrical Machines and

    Drives of the Technical University of Chemnitz.