iecon-statcom
TRANSCRIPT
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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],
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.
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