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    AbstractStatic compensators can be used for voltage

    regulation in the presence of flicker or transients on parallel

    connected loads in a distribution system. This paper presents a

    general modeling strategy that allows design of a fast voltage

    magnitude controller accounting for system parameters. The co-

    ordinate transform used in modeling the system facilitates

    extraction of linearized system dynamics with the help of circuit

    simulators. It is also shown that the problem of voltage

    regulation using instantaneous reactive current is non-minimum

    phase for certain operating conditions, thereby limiting its

    dynamic response irrespective of the control design method.

    Simulation results with a controller designed using input output

    bode plot are presented to prove the efficacy of the proposedmethod.

    Index TermsFlicker mitigation, Modeling, STATCOM,

    STATCOM control, Voltage regulation.

    I. INTRODUCTION

    ast load voltage regulation is required to compensate for

    time varying loads such as electric arc furnaces,

    fluctuating output power of wind generation systems, and

    transients on parallel connected loads (e.g. line start of

    induction motors) [1]-[3]. Reactive power compensation is

    commonly used for flicker mitigation and load voltage

    regulation. Due to their high control bandwidth, StaticCompensators (STATCOMs) based on three phase pulse

    width modulated converters, have been proposed in [1], [4]-

    [8] for this application. For effecting fast control, the

    STATCOM is usually modeled using the dq axis theory for

    balanced three phase systems, which allows definition of

    instantaneous reactive current [9].

    Most literature on STATCOM control concentrates on

    control of STATCOM output current and dc bus voltage

    regulation for a given reactive current reference. Regulation

    of load voltage is achieved using a PID controller that

    generates the reactive current reference (e.g. [10]). For this

    paper it is assumed that the STATCOM can be modeled as acontrolled current source. The problem addressed here is to

    design a voltage magnitude controller that will generate the

    reactive current reference for the STATCOM. Other than

    experimental procedures like Zeigler and Nichols [11], to the

    A. K. Jain and N. Mohan are with the Department of Electrical and

    Computer Engineering, University of Minnesota, Minneapolis, MN 55455.

    (phone: 612-624-7309, fax: 612-625-4583 E-mail: [email protected],

    [email protected]).

    A. Behal is with the Department of Bioengineering, Clemson University,

    Clemson, SC 29634-0915. (E-mail: [email protected]).

    authors knowledge, there is no standard procedure for

    designing a load voltage controller that ensures the required

    bandwidth and robustness to system variations. In [4], a small

    signal model of the system was derived by transforming the

    equivalent impedance of the ac system to the dq frame.

    However, the angular frequency of the dq frame was assumed

    to be constant and equal to the steady state line frequency.

    This paper describes a modeling strategy, similar to that used

    for field oriented control of three phase ac machines, that

    allows voltage controller design of STATCOMs accounting

    for system parameters. Although a simple system is

    considered here, it is indicated how the method described can

    be extended to more complex systems. Using linear and

    nonlinear systems approach it is shown that system is non-

    minimum phase for certain operating conditions, and thus has

    an inherent limitation on achievable dynamic response. A

    voltage controller is designed using input to output bode plots

    of the system linearized about various operating points.

    Simulation results showing the controller performance are

    presented.

    Section II describes system representation. Section III

    discusses the non-minimum phase nature of the system.

    Controller design and simulation results are presented in

    Section IV.

    II. SYSTEM MODEL

    A. System Description

    The system considered here is a simplified model of a load

    supplied on a distribution system. A STATCOM is connected

    at the load bus to regulate the voltage magnitude. One phase

    of the model is shown in Fig. 1(a). It consists of: the source

    modeled as an infinite bus with inductive source impedance,

    the load modeled by a resistance, the STATCOM modeled as

    a controllable current source, and a coupling capacitor. The

    coupling capacitor is included for two reasons: (1) if a

    capacitor is not included then the line current and the

    STATCOM output current are not independent [12], (2) a real

    STATCOM will always have an L-C filter at its output (e.g.

    [6]). It is assumed that the source, load, and STATCOM are

    balanced three phase systems. The STATCOM current

    dynamics have been neglected so it is represented as a

    controlled current source.

    The system dynamics are described by:

    ,

    , , ,

    s abc

    s s s abc L abc s abc

    diL R i v v

    dt= + (1)

    System Modeling and Control Design for Fast

    Voltage Regulation Using STATCOMsAmit K. Jain, Student Member, IEEE, Aman Behal, and Ned Mohan, Fellow, IEEE

    F

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    ,

    , , ,

    L abc

    c s abc SC abc L L abc

    dvC i i g v

    dt= (2)

    Here, ,s abci , ,SC abci , ,s abcv , and ,L abcv are vectors consisting of

    the individual phase quantities denoted in Fig. 1(a), 1/L Lg R=

    is the load conductance, sL is the source inductance, sR is the

    source resistance, and cC is the coupling capacitor. Under the

    assumption that zero sequence components are not present,

    (1)-(2) can be transformed to an equivalent two phase system

    by applying the following three to two phase transformation.0 2 /3 4 /3

    ,

    j j j

    s sa sb scv v e v e v e

    = + + (3)

    where, the complex number ,s s sv v j v = + . This is

    followed by the rotational transformation:

    , ,

    j

    s dq sd sq sv v j v e v

    = + =

    (4)

    Applying the two transformations, (1) and (2) can be written

    as

    ,

    , , ,( )s dq

    s s s s dq L dq s dq

    diL R j L i v v

    dt= + + (5)

    ( ), , , ,L dq

    c s dq SC dq L c L dqdvC i i g j C v

    dt= + (6)

    where, given by /d dt = , is yet to be defined and may

    be a function of time. The equivalent circuits corresponding

    to the real (d-axis) and imaginary (q-axis) components of this

    equation are shown in Fig. 1(b) and 1(c) respectively.

    ,s abci

    sR

    ,s a bcvL

    R ,SC abci

    +

    ,L abcv

    +

    sL

    cC

    (a)

    (b)

    (c)

    s sqL i

    SCdi

    sdi

    sL

    sdv

    LR

    +

    +

    Ldv

    +

    sR

    c LqC v

    cC

    SCqi

    sqi

    sqv

    s sdL i

    Lqv

    sL

    LR

    +

    +

    +

    sR

    c LdC v

    cC

    Fig. 1. (a) One phase of the system model, (b) d-axis equivalent circuit, (c) q-

    axis equivalent circuit.

    B. Choice of Reference Frame

    The choice of reference frame is similar to that used for

    field oriented control of three phase ac machines. The angle

    used in (4) is chosen as ( )1tan / s sv v

    = . Thus,

    0 / 0Lq Lqv dv dt = (7)

    Defining st = , where s is the frequency of the

    infinite bus phase voltages, we get ,j

    s dq sv V e

    = , where sV is

    the constant magnitude of the infinite bus voltage. The

    relative orientations of the vectors ,L dqv , ,s dqv , and thereference frame chosen are shown in Fig. 2. Ignoring losses, a

    STATCOM only supplies reactive power so that 0SCdi .

    Using the conditions mentioned above the transformed system

    equations can be rewritten as:

    Ldc L Ld s d

    dvC g v i

    dt= + (8)

    cossds Ld s sd s sq sdi

    L v R i L i Vdt

    = + + (9)

    sinsq

    s s sd s sq s

    diL L i R i V

    dt = (10)

    s

    d

    dt

    = (11)

    ( )sq SCq

    c Ld

    i i

    C v

    = (12)

    where (12) has been derived using (7). Corresponding

    equivalent circuits are shown in Fig. 3.

    Since 0Lqv = , Ldv represents the instantaneous magnitude

    of the phase voltages ,L abcv , which has to be controlled. The

    reactive current absorbed by the STATCOM, SCqi , is the

    control input. Since it has been assumed that negative

    sequence components are not present, in steady state all the

    state variables in (8)-(11) are constant. Effectively, thebalanced three phase ac system is transformed to an equivalent

    dc system.

    Lv

    axis

    sv

    st

    d axis

    q axisaxis

    Fig.2. Orientation of reference frames.

    C. Advantages of the System Representation

    The control problem is simplified to control of dcquantities as opposed to sinusoidally varying quantities, and

    the input (STATCOM reactive current, SCqi ) and output (bus

    voltage magnitude, Ldv ) are clearly defined on an

    instantaneous basis. Equations (8)-(12) define the system

    completely and can be used to design controllers using linear

    or nonlinear techniques.

    The transformed system can be represented in the form of

    equivalent circuits using circuit simulators with analog

    behavioral modeling capabilities. The dand q axis equivalent

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    circuits shown in Fig. 1(b) and 1(c) can be easily derived from

    the single phase circuit in Fig. 1(a). Inductors and capacitors

    (a)

    s sqL isdi

    sL

    sdvLR

    +

    +

    Ldv

    +

    sR

    cC

    (b)

    SCqi

    LR

    c LdC v

    s sdL i+

    sqi

    sqv

    +

    Fig. 3. Simplified equivalent circuits: (a) daxis, (b) q axis.

    are augmented by appropriate controlled voltage and current

    sources connected in series and parallel respectively. Three

    phase sinusoidal ac sources with constant amplitude arereplaced by controlled dc sources (e.g. cossd sv V = ,

    sinsq sv V = ). Two additional equations corresponding to

    (11)-(12) are needed to define and . Using these

    principles, a more complicated system can be modeled

    without writing all the state equations explicitly. For this

    paper, Matlab/Simulink along with the Power System

    Blockset has been used for modeling the equivalent circuits.

    Fig. 4 shows the Simulink block diagram of the system.

    Results obtained from the equivalent circuits based model

    were verified with those obtained from direct modeling of (8)-

    (12).

    Fig. 4. Simulink block diagram of transformed system.

    Since all the states are constant in steady state, operating

    point calculation is possible by equating the state derivatives

    to zero. This can be done by a dc bias point calculation in a

    circuit simulator. The system can then be linearized about

    calculated operating points to obtain either state space data or

    bode plots of the required transfer functions of the linearized

    system. Since simulators like Simulink can calculate

    operating points and extract linearized model of the system

    about the operating point, it is not necessary to write all thestate equations explicitly. This is important for systems

    having a large number of states.

    III. NON-MINIMUM PHASE NATURE OF SYSTEM

    System data used in the rest of the paper is taken from [7].

    However, a purely resistive load and a reasonable value for

    the coupling capacitor have been assumed here. The system

    parameters are:

    sV (L-L rms) 415 V sL 9 mH

    LR 32 sR 0.3

    cC 1 F

    This system was linearized around operating points

    corresponding to a range of values of the reactive current

    absorbed by the STATCOM, SCqI . Fig. 5 shows bode plots of

    the small signal transfer function from ,sc qi to Ldv for the

    linearized system. It is evident that for certain values of SCqI

    the transfer function has one Right Half Plane (RHP) zero.

    This non-minimum phase behavior was partially explained in

    [4]. There, a linearized model was used and the STATCOM

    current was assumed to be zero. As seen in Fig. 5, the system

    is non-minimum phase only for certain values of SCqI .

    Fig. 5. Bode plots of system for different values ofICq

    .

    A. Explanation of the Non-Minimum Phase Nature

    Non-minimum phase nature of a system implies that initial

    transient behavior of the system is counter intuitive. If the

    input is increased as a step the immediate effect is a reduction

    in the output. After an initial undershoot the output starts

    increasing and reaches its steady state value. The peculiar

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    behavior of our system can be understood from an inspection

    of equivalent circuits shown in Fig. 3. Assume that at t = 0

    SCqi is increased as a step. Since sqi cannot change

    instantaneously, the current c LdC v reduces instantaneously.

    Since Ldv cannot change instantaneously the immediate effect

    is a reduction in . If the operating condition of the system

    prior to the step change was such that (0) 0sqi > , then sdi

    starts reducing due to reduction in value of the controlledvoltage source s sqL i . This leads to a decrease in Ldv . Once

    sqi starts increasing, due to reduction of the controlled voltage

    source s sdL i , sdi and Ldv start increasing. If the initial

    system condition is such that (0) 0sqi < , then a reduction in

    does not cause sdi to decrease. Thus, the system exhibits non-

    minimum phase behavior only for (0) 0sqi > .

    Fig. 6(a) and 6(b) show the simulated step response of the

    uncontrolled open loop system for cases where (0) 0sqi > and

    (0) 0sqi < respectively. It was numerically verified that the

    small signal transfer functions obtained for operatingconditions with 0sqI > , had an RHP zero and those for

    0sqI < did not.

    (a) (b)

    Fig. 6. Response of the uncontrolled system to a step increase inCq

    i :

    (a) (0) 0isq > (b) (0) 0isq < .

    B. Nonlinear Systems Approach

    According to [13] a nonlinear system is non-minimum phase

    if the zero dynamics of the system are not asymptoticallystable. Assuming 0sqi , zero dynamics of the system are

    derived as follows. First the output Ldv is set to a constant

    value of LV in (8) which gives sd L Li g V= . These values of

    Ldv and sdi are used in (9) to obtain SCqi in terms of sqi and

    . Substituting the obtained value of SCqi in (10) and (11)

    and using (12) for the definition of gives the followingzero dynamics.

    ( )1

    (1 ) cos sinsq

    s s sq L L L L s s s

    sq

    diL R i g V V g R V V

    dt i = +

    (13)

    ( )1

    (1 ) cosL L s ss sq

    dV g R V

    dt L i

    = + + (14)

    Stability of the system described by (13) and (14) was studied

    by calculating the equilibrium points and linearizing (13) and

    (14) about them. Eigen values of the resulting state matrixwere calculated numerically with LV as a parameter. It was

    found that for 0sqi > one eigen value is positive, while for

    0sqi < both the eigen values are negative. Since the

    linearized system corresponding to (13)(14) is unstable for

    the case 0sqi > , the nonlinear system given by (13)(14) is

    also unstable [13]. For 0sqi < , since the linearized system is

    stable, (13)(14) is locally asymptotically stable. Thus, it may

    be concluded that the system described by (8)(12) is non-

    minimum phase for (0) 0sqi > .

    IV. CONTROLLER DESIGN AND SIMULATION RESULTS

    A. Control Design

    Bode plots of the linearized system shown in Fig. 5 were

    used along with the Single Input Single Output Design Tool in

    Matlab to design the controller. The worst case bode plot,

    corresponding to the minimum value of the RHP zero (1400

    rad/s), was found at the maximum value of SCqI (10 A)

    considered. A purely integral compensator with the

    parameters indicated below was designed for effecting voltage

    regulation. Open loop bode plots of the system with the

    compensator are shown in Fig. 7.

    IK 100 Gain Margin (min.) 9 dB

    Gain crossover

    frequency

    55 Hz Phase Margin (min.) o78

    Fig. 7. Bode plots of the open loop system with integral compensator for

    different values ofICq

    .

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    B. Simulation Results

    A three phase system was modeled in Simulink with the

    parameters mentioned above. A block diagram of the closed

    loop system implementation is shown in Fig. 8. The angle

    used for abc to dq and dq to abc transforms is derived from

    sensed load voltages by using ( )1tan / s sv v

    = . SCdi is set

    to zero while SCqi is connected to the output of the integral

    compensator described above.

    ,s abcv

    ,s abci

    sR

    LR

    ,SC abci+

    ,L abcv

    +

    sL

    cC

    ,L abcv

    abc

    todq abc

    to

    dq

    0SCdi =

    SCqi

    IK

    1

    s

    +

    ,Ld refv

    Ldv

    abc

    to

    1tan ( / )s sv v

    Fig. 8. Block diagram of the simulated system

    Fig. 9 Simulated response for a step change in voltage reference.

    Fig. 9 shows the system response for step changes of 0.05

    p.u. in the desired voltage magnitude. As expected from the

    designed gain crossover frequency the voltage settles in less

    than 15 ms. Fig. 9 shows the system response for a step

    increase in load from 100% to 120% at t = 40 ms. As seen,

    the load voltage magnitude is regulated to its reference value

    in less than 15 ms.

    A three phase balanced current source of magnitude 5A

    and frequency of 10Hz was connected in parallel with the

    load. This simulates the effect of pulsating load power. Fig.

    11 shows the system response with and without the controlled

    STATCOM. The variation of the phase voltage magnitudes is

    Fig. 10. Simulated response for a step increase in load current.

    Fig. 11. Response to parallel current injection at 10 Hz.

    1.85% without the STATCOM and 1.44% with the

    STATCOM. Although the STATCOM does compensate to

    some extent, it is limited by the controller bandwidth. The 10

    Hz parallel load appears at beat frequencies in the dq axis

    frame. Since the open loop gain crossover frequency is only

    55 Hz the STATCOM cannot completely compensate for the

    disturbance. The controller bandwidth cannot be increased

    any further due to the non-minimum phase nature of the

    system. Thus, this limitation on the dynamic response is

    imposed by system parameters.

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    V. CONCLUSION

    This paper has described a method for modeling

    distribution systems in which a STATCOM is used for load

    voltage regulation. The modeling strategy, similar to that used

    for field oriented control of AC machines, suited to design of

    voltage magnitude controller accounting for system

    parameters. Although a simple system was considered in this

    paper, the method presented can be applied to complex

    systems. The particular co-ordinate transform used facilitates

    extraction of linearized system dynamics with the help of

    circuit simulators having analog behavioral modeling

    capabilities. Towards this end Matlab/Simulink with the

    Power System Blockset were used.

    The system is non-minimum phase for certain operating

    conditions. These operating conditions have been identified

    and explanation of the non-minimum phase nature based on

    both linear and nonlinear systems approach has been

    provided. This characteristic of the system imposes restriction

    on the dynamic response achievable with reactive current

    compensation and therefore on the ability of STATCOMs to

    regulate voltage in the presence of disturbances.A simple integral controller was designed utilizing bode

    plots of the input to output transfer function. Simulation

    results illustrating dynamic response of the controlled system

    have been presented.

    VI. REFERENCES

    [1] G. D. Preville, Flicker mitigation: Application to a STATCOM, inProc. 2001 European Conference on Power Electronics and

    Applications, CD-ROM.

    [2] M. Gutierrez, G. Venkataramanan, A. Sundaram, Solid state flickercontroller using a pulse width modulated AC-AC converter, in Proc.

    thirty-fifth IEEE Industry Applications Society Annual Meeting, 2000,

    vol. 5, pp. 3158-3165.

    [3] C. V. Moreno, H. A. Duarte, and J. U. Garcia, Propagation of flicker inelectric power networks due to wind energy conversions systems,IEEETransactions on Energy Conversion, vol.17, pp.267-72, June 2002.

    [4] K. R. Padiyar, and A. M. Kulkarni, Design of reactive current andvoltage controller of static condenser, Electric Power and Energy

    Systems, vol. 19, no. 6, pp. 397-410, 1997.

    [5] C. Hochgraf, and R. H. Lasseter, STATCOM controls for operationwith unbalanced voltages, IEEE Transactions on Power Delivery,

    vol.13, pp.538-44, April 1998.

    [6] S. Chen, and G. Joos, Series and shunt active power conditioners forcompensating distribution system faults, in Proc. 2000 Canadian

    Conference on Electrical and Computer Engineering, vol.2, pp.1182-

    1186.

    [7] P.S. Sensharma, K. R. Padiyar, and V. Ramanarayanan Analysis andperformance of distribution STATCOM for compensating Voltage

    fluctuation, IEEE Transactions on Power Delivery, vol. 16, pp. 259-

    264, April 2001[8] J. Dolezal, and J. Tlusty, Background of active power filter control forflicker suppression, in Proc. 2001 European Conference on Power

    Electronics and Applications, CD-ROM.

    [9] C. Schauder, and H. Mehta, Vector analysis and control of advancedstatic VAR compensators, IEE Proceedings-C Generation

    Transmission & Distribution, vol.140, pp.299-306, July 1993.

    [10] P. W. Lehn, and M. R. Iravani, Experimental evaluation of STATCOMclosed loop dynamics, IEEE Transactions on Power Delivery, vol.13,

    pp.1378-84, Oct. 1998.

    [11] K. Ogata, Modern Control Engineering, 3rd ed., New Jersey, Prentice-Hall, 1997.

    [12] A. K. Jain, and N. Mohan, Fast voltage regulation using STATCOMs,(to appear) in Proc.Caribbean Colloquium on Power Quality, Dorado,

    Puerto Rico, 2003.

    [13] H. K. Khalil, Nonlinear Systems, 3rd, ed., Upper Saddle River, NewJersey, Prentice Hall, 2002, pp. 139-142 and pp.512-517.