Iaetsd fuzzy logic control of statcom for voltage regulation

FUZZY LOGIC CONTROL OF STATCOM FOR VOLTAGE REGULATION
[1]
V.SWATHI,[2]
K.JANARDHAN
[1]
M.Tech (EPS), SVCET, Chittoor, Andhra Pradesh, India.
Email Address:swathivalluru253@gmail.com
[2]
Assistant professor, Dept. of EEE, SVCET, Chittoor, Andhra Pradesh, India.
ABSTRACT—STATCOM can provide fast and efficient
reactive power support to maintain power system voltage
stability. In the literature, various STATCOM control
methods have been discussed including many applications of
proportional-integral (PI) controllers. However, these
previous works obtain the PI gains via a trial-and-error
approach or extensive studies with a tradeoff of performance
and applicability. Hence, control parameters for the optimal
performance at a given operating point may not be effective
at a different operating point. This paper proposes a new
control model based on adaptive PI and fuzzy control, which
can self-adjust the control gains during a disturbance such
that the performance always matches a desired response,
regardless of the change of operating condition. Since the
adjustment is autonomous, this gives the plug-and-play
capability for STATCOM operation. In the simulation test,
the adaptive PI and fuzzy control shows consistent excellence
under various operating conditions, such as different initial
control gains, different load levels, change of transmission
network, consecutive disturbances, and a severe disturbance.
In contrast, the conventional STATCOM control with tuned,
fixed PI gains usually perform fine in the original system, but
may not perform as efficient as the proposed control method
when there is a change of system conditions.
Index Terms— Adaptive control, plug and play,
proportional-integral(PI) control, reactive power
compensation, STATCOM, voltage stability.
I. INTRODUCTION
Voltage stability is a critical consideration in
improving the security and reliability of power systems. The
static compensator (STATCOM), a popular device for
reactive power control based on gate turnoff (GTO)
thermistors, has gained much interest in the last decade for
improving power system stability. In the past, various control
methods have been proposed for STATCOM control. The
mainly focus on the control design rather than exploring how
to set PI control gains. In many STATCOM models, the
control logic is implemented with the PI controllers.
The control parameters or gains play a key factor in
STATCOM performance. Presently, few studies have been
carried out in the control parameter settings. In the PI
controller gains are designed in a case-by-case study or trial-
and-error approach with tradeoffs in performance and
efficiency. Generally speaking, it is not feasible for utility
engineers to perform trial-and-error studies to find suitable
parameters when a new STATCOM is connected to a system.
Further, even if the control gains have been tuned to fit the
projected scenarios, performance may be disappointing when
a considerable change of the system conditions occurs, such
as when a line is upgraded or retires from service. The
situation can be even worse if such transmission topology
change is due to a contingency. Thus, the STATCOM control
system may not perform well when mostly needed.
A few, but limited previous works in the literature
discussed the STATCOM PI controller gains in order to better
enhance voltage stability and to avoid time-consuming
tuning. For instance, linear optimal controls based on the
linear quadratic regular (LQR) control are proposed. This
control depends on the designer’s experience to obtain
optimal parameters. In a new STATCOM state feedback
design is introduced based on a zero set concept. Similar to
the final gains of the STATCOM state feedback controller
still depend on the designer’s choice. In a fuzzy PI control
method is proposed to tune PI controller gains. However, it is
still up to the designer to choose the actual, deterministic
gains. In the population-based search technique is applied to
tune controller gains. However, this method usually needs a
long running time to calculate the controller gains. A tradeoff
of performance and the variety of operation conditions still
has to be made during the designer’s decision-making
process. Thus, highly efficient results may not be always
achievable under a specific operating condition.
Different from these previous works, the motivation
of this paper is to propose a control method that can ensure a
quick and consistent desired response when the system
operation condition varies. In other words, the change of the
external condition will not have a negative impact, such as
slower response, overshoot, or even instability to the
performance.
` Base on this fundamental motivation, an adaptive PI
control of STATCOM for voltage regulation is presented in
this paper. With this adaptive PI control method, the PI
control parameters can be self-adjusted automatically and
dynamically under different disturbances in a power system.
When a disturbance occurs in the system, the PI control
parameters for STATCOM can be computed automatically in
every sampling time period and can be adjusted in real time
to track the reference voltage. Different from other control
methods, this method will not be affected by the initial gain
settings, changes of system conditions, and the limits of
human experience and judgment. This will make the
STATCOM a “plug-and-play” device. In addition, this
research work demonstrates fast, dynamic performance of the
STATCOM in various operating conditions.
.
II. STATCOM MODEL AND CONTROL
A. System configuration
The equivalent circuit of the STATCOM is shown
in Fig. 1. In this power system, the resistance Rs in series
with the voltage source inverter represents the sum of the
transformer winding resistance losses and the inverter
conduction losses. The inductance Ls represents the
leakage inductance of the transformer.
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Fig. 1. Equivalent circuit of STATCOM
The resistance Rc in shunt with the capacitor C represents
the sum of the switching losses of the inverter and the power
losses in the capacitor. In Fig.1. Vas, Vbs and Vcs are the
three-phase STATCOM output voltages; Val , Vbl and Vcl are
the three phase bus voltages; ias , ibs and ics and are the three-
phase STATCOM output currents.
B. STATCOM dynamic model
The three-phase mathematical expressions of the
STATCOM can be written in the following form
Ls
𝑑ias
𝑑𝑡
= -Rsias + Vas -Val (1)
Ls
𝑑ibs
𝑑𝑡
= -Rsibs + Vbs –Vbl (2)
Ls
𝑑ics
𝑑𝑡
= -Rsics + Vcs –Vcl (3)
𝑑
𝑑𝑡
(
1
2
Cv2
dc(t)) = -[ Vas ias+ Vbsibs+ Vcsics] –
𝑣2𝑑𝑐(𝑡)
𝑅𝑐
(4)
Fig. 2. Traditional STATCOM PI control block diagram.
By using the abc/dq transformation, the equations from (1)
to (4) can be rewritten as
where ids and iqs are the d and q currents corresponding to ias,
ibs and ics, K is a factor that relates the dc voltage to the peak
phase-to-neutral voltage on the ac side; Vdc is the dc-side
voltage;α is the phase angle at which the STATCOM output
voltage leads the bus voltage ;ω is the synchronously rotating
angle speed of the voltage vector; and Vdl and Vql represent
the d and q axis voltage corresponding to , Val, Vbl and Vcl .
Since Vql=0, based on the instantaneous active and reactive
power definition, (6) and (7) can be obtained.
Pl =
3
2
vdl ids (6)
ql =
3
2
vdl iqs (7)
Based on the above equations, the traditional control strategy
can be obtained, and the STATCOM control block diagram
is shown in Fig. 2 [10], [11], [25].
As shown in Fig. 2, the phase-locked loop (PLL)
provides the basic synchronizing signal which is the reference
angle to the measurement system. Measured bus line voltage
Vm is compared with the reference voltage Vref , and the
voltage regulator provides the required reactive reference
current Iqref . The droop factor Kd is defined as the allowable
voltage error at the rated reactive current flow through the
STATCOM. The STATCOM reactive current Iq is compared
with Iqref, and the output of the current regulator is the angle
phase shift of the inverter voltage with regard to the system
voltage. The limiter is the limit imposed on the value of
control while considering the maximum reactive power
capability of the STATCOM.
III. ADAPTIVE PI CONTROL FOR STATCOM
A. Concept of the Proposed Adaptive PI Control Method
The STATCOM with fixed PI control parameters
may not reach the desired and acceptable response in the
power system when the power system operating condition
(e.g., loads or transmissions) changes. An adaptive PI control
method is presented in this section in order to obtain the
desired response and to avoid performing trial-and-error
studies to find suitable parameters for PI controllers when a
new STATCOM is installed in a power system. With this
adaptive PI control method, the dynamical self-adjustment of
PI control parameters can be realized.
An adaptive PI control block for STATCOM is
shown in Fig. 3. In Fig. 3, the measured voltage Vm(t) and the
reference voltage Vref(t) , and the q -axis reference current Iqref
and the q-axis current Iq are in per–unit values. The
proportional and integral parts of the voltage regulator gains
are denoted by Kp-v and Ki-v, respectively. Similarly, the gains
Kp-I and Ki-i represent the proportional and integral parts,
respectively, of the current regulator. In this control system,
the allowable voltage error Kd is set to 0. The Kp-v, Ki-v,
Kp-i and Ki-i can be set to an arbitrary initial value such as
simply 1.0. One exemplary desired curve is an exponential
curve in terms of the voltage growth, shown in Fig. 4, which
is set as the reference voltage in the outer loop. Other curves
may also be used than the depicted exponential curve as long
as the measured voltage returns to the desired steady-state
voltage in desired time duration. The process of the adaptive
voltage-control method for STATCOM is described as
follows.
1) The bus voltage Vm(t) is measured in real time.
2) When the measured bus voltage over time Vm(t)≠Vss
the target steady-state voltage, which is set to 1.0 per
unit(p.u.) in the discussion and examples, Vm(t) is
compared With Vss . Based on the desired reference
voltage curve, Kp-v and Ki-v are dynamically adjusted
in order to make the measured voltage match the
desired reference voltage and the q-axis reference
current Iqref can be obtained.
In the inner loop,Iqref is compared with the q-axis current
Iq. Using the similar control method like the one for the
outer loop, the parameters Kp-I and Ki-i can be adjusted
based on the error. Then, a suitable angle can be found and
eventually the dc voltage in STATCOM can be modified
such that STATCOM provides the exact amount of
reactive power injected into the system to keep the bus
voltage at the desired value.
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It should be noted that the current Imax and Imin and the
angle αmax and αmin are the limits imposed with the
consideration of the maximum reactive power generation
capability of the STATCOM controlled in this manner. If
one of the maximum or minimum limits is reached, the
maximum capability of the STATCOM to inject reactive
power has been reached. Certainly, as long as the
STATCOM sizing has been appropriately studied during
planning stages for inserting the STATCOM into the
power system, the STATCOM should not reach its limit
unexpectedly.
Fig. 4. Reference voltage curve.
B. Derivation of the Key Equations
Since the inner loop control is similar to the outer
loop control, the mathematical method to automatically
adjust PI controller gains in the outer loop is discussed in this
section for illustrative purposes. A similar analysis can be
applied to the inner loop.
Here, Vdl(t)and Vql(t) can be computed with the d-q
transformation
[
𝑉𝑑𝑙(𝑡)
𝑉𝑞𝑙(𝑡)
0
] =
2
3
[
1 −
1
2
−
1
2
0
√3
2
√3
2
1
√2
1
√2
1
√2 ]
[
𝑉𝑎𝑙(𝑡)
𝑉𝑏𝑙(𝑡)
𝑉𝑐𝑙(𝑡)
] (8)
Then, we have
Vm(t) = √𝑉2𝑑𝑙(𝑡) + 𝑉2𝑞𝑙(𝑡) (9)
Based on Vm(t), the reference voltage Vref(t) is set as
Vref(t) = Vss – (𝑉𝑠𝑠 − 𝑉𝑚(𝑡))𝑒−
𝑡
𝑇 (10)
In (10), 𝑉𝑠𝑠 is the target steady-state voltage, which
is set to 1.0 p.u. in the discussion and examples; is the
measured voltage Vm(t); T=0.01 s. The curve in Fig. 4 is one
examples of Vref(t).
If the system is operating in the normal condition,
then Vm(t)= 1 p.u. and, thus, Vref(t)=1 p.u. This means that
and will not change and the STATCOM will not inject or
absorb any reactive power to maintain the voltage meeting
the reference voltage. However, once there is a voltage
disturbance in the power system, based on Vref(t) = Vss –
(𝑉𝑠𝑠 − 𝑉𝑚(𝑡))𝑒−
𝑡
𝑇, Kp-v and Ki-v will become adjustable and
the STATCOM will provide reactive power to increase the
voltage. Here, the error between Vref(t)and Vm(t) is denoted
by when there is a disturbance in the power system. Based on
the adaptive voltage-control model, at any arbitrary time
instant , the following equation can be obtained:
∆V(t)Kp-v(t) + Ki-v(t)∫ ∆𝑉(𝑡)𝑑𝑡
𝑡+𝑇𝑠
𝑡
= Iqref (t+Ts) (11)
In this system, the discrete-time integrator block in
place of the integrator block is used to create a purely discrete
system, and the Forward-Euler method is used in the discrete-
time integrator block. Therefore, the resulting expression for
the output of the discrete-time integrator block at t is
y(t) = y(t-Ts) + Ki-v(t-Ts) * Ts* ∆V(t- Ts) (12)
y(t) = Ki-v(t)∫ ∆𝑉(𝑡)𝑑𝑡
𝑡+𝑇𝑠
𝑡
y(t-Ts) = Ki-v(t) ∫ ∆𝑉(𝑡 − 𝑇𝑠)𝑑𝑡
𝑡
𝑡−𝑇𝑠
; y(t-Ts) = Iqref(t)
∆V(t)Kp-v(t) + Ki-v(t)∫ ∆𝑉(𝑡)𝑑𝑡
𝑡+𝑇𝑠
𝑡
- Ki-v(t) ∫ ∆𝑉(𝑡 −
𝑡
𝑡−𝑇𝑠
𝑇𝑠)𝑑𝑡 = Iqref(t+Ts) – Iqref(t) (13)
Over a very short time duration, we can consider Ki-v(t)=Ki-
v(t-Ts). Hence, (13) can be rewritten as
∆V(t)Kp-v(t) + Ki-v(t)∫ 𝐴𝑑𝑡
𝑡+𝑇𝑠
𝑡
= Iqref(t+Ts) – Iqref(t) (14)
Where A = ∆V(t) - ∆V(t-Ts)
Assume at the ideal response, we have
Iqref(t+Ts) – Iqref(t) = R * ∆V(t) (15)
Since the system is expected to be stable, without
losing generality, we may assume that the bus voltage will
come back to 1 p.u. in , where 5T is the delay defined by
users as shown in Fig. 4. Since based on Iqref(t0)=0(15), (11)
can be rewritten as
∆V(t0) Kp-v(t0) + Ki-v(t0) ∫ ∆V(t)dt
𝑡𝑜+5𝑇
𝑡𝑜
= R * ∆V(t0) (16)
Where t0 is the time that the system disturbance occurs.
Setting Ki-v(𝑡𝑜̅ ) = 0 , we then have
Kp-v(t0) = R (17)
Setting Kp-v(𝑡𝑜̅ ) = 0, we then have
Ki-v(t0) =
∆𝑉(𝑡𝑜)∗𝑅
∫ ∆V(t)dt
𝑡𝑜+5𝑇
𝑡𝑜
(18)
Now, the ratio mv = (𝐾𝑖 − 𝑣(𝑡𝑜))/(𝐾𝑝 − 𝑣(𝑡𝑜)) can be
considered as the ideal ratio of the values of Kp-v(t) and Ki-
v(t)after fault.
Thus, (15) can be rewritten as
Iqref(t+5T) – Iqref(t) = Kv * ∆V(t0) (19)
Here,Kv can be considered as the steady and ideal
ratio (𝐼𝑞𝑟𝑒𝑓(𝑡 + 𝑇𝑠) − 𝐼𝑞𝑟𝑒𝑓(𝑡))/(∆V(t))
Based on the system bus capacity and the STATCOM
rating ∆Vmax, can be obtained, which means any voltage
change
greater than ∆Vmax cannot come back to 1 p.u. Since we
have -1≤ 𝐼𝑞𝑟𝑒𝑓(𝑡)≤1, we have the following equation:
∆V(to)
∆𝑉𝑚𝑎𝑥
= Kv *
∆𝑉(𝑡𝑜)𝐾𝑝−𝑣)𝑡𝑜)+𝐾𝑖−𝑣(𝑡𝑜) ∫ ∆𝑉(𝑡)𝑑𝑡
𝑡𝑜+5𝑇
𝑡𝑜
𝑅
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(20)
In order to exactly calculate the PI controller gains based on
(14), we can derive
Kv =
𝑅∗ ∆V(to)
∆𝑉(𝑡𝑜)𝐾𝑝−𝑣)𝑡𝑜)+𝐾𝑖−𝑣(𝑡𝑜) ∫ ∆𝑉(𝑡)𝑑𝑡
𝑡𝑜+5𝑇
𝑡𝑜
∗ ∆𝑉𝑚𝑎𝑥
(21)
∆V(t)Kp-v(t) + mvKp-v(t) ∫ 𝐴𝑑𝑡
𝑡+𝑇𝑠
𝑡
= Kv * ∆V(t) (22)
Kp-v(t) =
Kv ∗ ∆V(t)
∆V(t)+ mv ∫ 𝐴𝑑𝑡
𝑡+𝑇𝑠
𝑡
(23)
Ki-v(t) = mv * Kp-v(t) (24)
Using a similar process, the following expressions for
current regulator PI gains can be obtained:
Kp-I(t) =
𝐾𝐼∗∆𝐼𝑞(𝑡)
∆𝐼𝑞(𝑡)+ 𝑚𝐼∗ ∫ 𝐵𝑑𝑡
𝑡+𝑇𝑠
𝑡
(25)
Ki-I(t) = mI * Kp-I(t) (26)
C. Flowcharts of the Adaptive PI Control
Procedure
Fig. 5 is an exemplary flowchart of the proposed adaptive PI
control for STATCOM for the block diagram of Fig. 3.
Fig. 5. Adaptive PI control algorithm flowchart.
The adaptive PI control process begins at Start. The
bus voltage Vm(t)over time is sampled according to a desired
sampling rate. Then, Vm(t) is compared with Vss. If , Vm(t)=
Vss then there is no reason to change any of the identified
parameters ,Kp-v(t), Kp-i(t), Ki-I(t) andKi-V(t) . The power
system is running smoothly. On the other hand, if , Vm(t)≠Vss
then adaptive PI control begins.
The measured voltage is compared withVref(t) , the
reference voltage defined in (10). Then, Kp-v(t)and Ki-V(t)
are adjusted in the voltage regulator block (outer loop) based
on (23) and(24), which leads to an updated Iqrefvia a current
limiter as shown in Fig. 3.
Then, the Iqref is compared with the measured q-
current . The control gains Kp-i(t) and Ki-I(t) are adjusted
based on (25) and (26). Then, the phase angle α is determined
and passed through a limiter for output, which essentially
decides the reactive power output from the STATCOM.
Fig. 6. Studied system.
If │∆V(t)│ is not within a tolerance threshold ,
which is a very small value such as 0.0001 p.u., the voltage
regulator block and current regulator blocks are re-entered
until the change is less than the given threshold . Thus, the
values for Kp-v(t), Kp-i(t), Ki-I(t) and Ki-V(t) are
maintained.
If there is the need to continuously perform the
voltage-control process, which is usually the case, then the
process returns to the measured bus voltage. Otherwise, the
voltage-control process stops (i.e., the STATCOM control is
deactivated).
IV. SIMULATION RESULTS
A. System Data
In the system simulation diagram shown in Fig. 6, a
±100-MVAR STATCOM is implemented with a 48-pulse
VSC and connected to a 500-kV bus. This is the standard
sample STATCOM system in Matlab/Simulink library, and
all machines used in the simulation are dynamical models.
Here, the attention is focused on the STATCOM control
performance in bus voltage regulation mode. In the original
model, the compensating reactive power injection and the
regulation speed are mainly affected by PI controller
parameters in the voltage regulator and the current regulator.
The original control will be compared with the proposed
adaptive PI control model.
Assume the steady-state voltage, Vss=1.0 p.u. In
Sections IV-B, C, and F, a disturbance is assumed to cause a
voltage drop at 0.2 s from 1.0 to 0.989 p.u. at the source
(substation A). Here, the 0.989-p.u. voltage at substation A is
the lowest voltage that the STATCOM system can support
due to its capacity limit. The third simulation study in
Subsection IV-D assumes a voltage drop from 1.0 to 0.991
under a changed load. The fourth simulation study in
Subsection IV-E assumes a disturbance at 0.2 s, causing a
voltage rise from 1.0 to 1.01 p.u. at substation A under a
modified transmission network. In Subsection IV-F, a
disturbance at 0.2 s causes a voltage decrease from 1.0 to
0.989 p.u. occurring at substation A. After that, line 1 is
switched off at 0.25 s. In Subsection IV-G, a severe
disturbance is assumed with a voltage sag of 60% of the rated
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voltage. When the fault clears, the voltage gets back to around
1.0 p.u.
In all simulation studies, the STATCOM
immediately operates after the disturbance with the
expectation of bringing the voltage back to 1.0 p.u. The
proposed control and the original PI control are studied and
compared.
B. Response of the Original Model
In the original model, Kp-v= 12,Ki-v= 3000, Kp-
I=5,Ki-I= 40. Here, we keep all of the parameters unchanged.
The initial voltage source, shown in Fig. 6, is 1 p.u., with the
voltage base being 500 kV. In this case, if we set 1, then we
have the initial mv calculated as mv = 770.87. Since, in this
case∆V(t0)=∆Vmax, and Kv= 84.7425, based on (23)–(26), we
have
Fig. 7. Results of (a) voltages and (b) output reactive power
using the same network and loads as in the original system.
Fig. 8. Results of using the same network and loads as in the
original system.
Based on (27)–(30), the adaptive PI control system
can be designed, and the results are shown in Figs. 7 and 8,
respectively. Observations are summarized in Table I. From
the results, it is obvious that the adaptive PI control can
achieve quicker response than the original one. The necessary
reactive power amount is the same while the adaptive PI
approach runs faster, as the voltage does. Set , where ωt=α+θ
is the output angle of the current regulator, and is the
reference angle to the measurement system.
TABLE I
PERFORMANCE COMPARISON FOR THE ORIGINAL
SYSTEM PARAMETERS
In the STATCOM, it is ωt that decides the control
signal. Since θ is a very large value (varying between 0 to 2
), the ripples of α in the scale shown in Fig. 8 will not affect
the final simulation results.
Note that there is a very slight difference of 0.12
MVar in the var amount at steady state in Table I, which
should be caused by computational round off error. The
reason is that the sensitivity of dVAR/dV is around 100
MVar/0.011 p.u. of voltage. For simplicity, we may assume
that ∆Var/∆V sensitivity is a linear function. Thus, when the
voltage error is 0.00001 p.u., ∆Var is 0.0909MVar,which is
in the same range as the 0.12-MVar mismatch. Thus, it is
reasonable to conclude that the slight Var difference in Table
I is due to round off error in the dynamic simulation which
always gives tiny ripples beyond 5th digits even in the final
steady state.
D. Change of PI Control Gains
In this scenario, the other system parameters remain
unchanged while the PI controller gains for the original
control are changed to pi gains are 1 . The dynamic control
gains, which are independent of the initial values before the
disturbance but depend on the post fault conditions, are given
as
Based on (31)–(34), the adaptive PI control model
can be designed, and the results are shown in Figs. 9 and 10,
respectively. From Fig. 9(a), it can be observed that when the
PI control gains are changed to different values, the original
control model cannot make the bus voltage get back to 1 p.u.,
and the STATCOM has poor response. The reactive power
cannot be increased to a level to meet the need. However,
with adaptive PI control, the STATCOM can respond to
disturbance perfectly as desired, and the voltage can get back
to 1 p.u. quickly within 0.1 s. Fig. 9(b) also shows that the
reactive power injection cannot be continuously increased in
the original control to support voltage, while the adaptive PI
control performs as desired.
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D. Change of Load
In this case, the original PI controller gains are
kept, which Kp-v= 12,Ki-v= 3000, Kp-I=5,Ki-I= 40.
Fig. 9. Results of (a) voltages and (b) output reactive power
with changed PI control gains.
Fig. 10. Results of with changed PI control gains.
However, the load at Bus B1 changes from 300 to 400 MW.
In this case, we have the given dynamic control gains by
Based on (35)–(38), the adaptive PI control model can be
designed for automatic reaction to a change in loads. The
results are shown in Figs. 11 and 12. Table II shows a few
key observations of the performance. From the data shown in
Table II and Fig. 11, it is obvious that the adaptive PI control
can achieve a quicker response than the original one.
E. Change of Transmission Network
In this case, the PI controller gains remain
unchanged, as in the original model. However, line 1 is
switched off at 0.2 s to represent a different network which
may correspond to scheduled transmission maintenance.
Here, we have
Fig. 11. Results of (a) voltages and (b) output reactive
power with a change of load.
Fig. 12. Results of with a change of load.
TABLE II
PERFORMANCE COMPARISON WITH A
CHANGE OF LOAD
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Based on (39)–(42), the adaptive PI control model
can be designed to automatically react to changes in the
transmission network. The results are shown in Figs. 13 and
14. Key observations are summarized in Table III.
Note that the STATCOM absorbs VAR from the
system in this case. Here, the disturbance is assumed to give
a voltage rise at (substation A) from 1.0 to 1.01 p.u.; mean
while, the system has a transmission line removed which
tends to lower the voltages. The overall impact leads to a
voltage rise to higher than 1.0 at the controlled bus in the
steady state if the STATCOM is not activated. Thus, the
STATCOM needs to absorb VAR in the final steady state to
reach 1.0 p.u. voltage at the controlled bus. Also note that the
initial transients immediately after 0.2 s lead to an over
absorption by the STATCOM, while the adaptive PI control
gives a much smoother and quicker response, as shown in
Fig. 13.
power with a change of transmission network.
Fig. 14. Results of with a change of transmission network.
TABLE III
PERFORMANCE COMPARISON WITH CHANGED
TRANSMISSION
F. Two Consecutive Disturbances
In this case, a disturbance at 0.2 s causes a voltage
decrease from 1.0 to 0.989 p.u. and it occurs at substation A.
After that, line 1 is switched off at 0.25 s. The results are
shown in Figs. 15 and 16. From Fig. 15, it is apparent that the
adaptive PI control can achieve much quicker response than
the original one, which makes the system voltage drop much
less than the original control during the second disturbance.
Note in Fig. 15(a) that the largest voltage drop during the
second disturbance event (starting at 0.25 s) with the original
control is 0.012 p.u., while it is 0.006 p.u. with the proposed
adaptive control. Therefore, the system is more robust in
responding to consecutive disturbances with adaptive PI
control.
power with two consecutive disturbances.
Fig. 16. Results of with two consecutive disturbances.
G. Severe Disturbance
In this case, a severe disturbance at 0.2 s causes a
voltage decrease from 1.0 to 0.6 p.u. and it occurs at
substation A. After that, the disturbance is cleared at 0.25 s.
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©IAETSD 201612

The results are shown in Figs. 17 and 18. Due to the limit of
STATCOM capacity, the voltage cannot get back to 1 p.u.
after the severe voltage drop to 0.6 p.u. After the disturbance
is cleared at 0.25 s, the voltage goes back to around 1.0 p.u.
As shown in Fig. 17(a) and the two insets, the adaptive PI
control can bring the voltage back to 1.0 p.u. much quicker
and smoother than the original one. More important, the Q
curve in the adaptive control (Qmax
=40MVar) is much less
than the Q in the original control (Qmax
=118 MVar).
H. Summary of the Simulation Study
From the aforementioned six case studies shown in
Subsections B–G, it is evident that the adaptive PI control can
achieve faster and more consistent response than the original
one. The response time and the curve of the proposed
adaptive PI control are almost identical under various
conditions, such as a change of (initial) control gains, a
change of load, a change of network topology, consecutive
disturbances, and a severe disturbance. In contrast, the
response curve of the original control model varies greatly
under a change of system operating condition and worse, may
not correct the voltage to the expected value. The advantage
of the proposed adaptive PI control approach is expected
because the control gains are dynamically and autonomously
adjusted during the voltage correction process therefore, the
desired performance can be achieved.
power in a severe disturbance.
Fig. 18. Results of in a severe disturbance.
V. CONCLUSION
In the literature, various STATCOM control
methods have been discussed including many applications of
PI controllers. However, these previous works obtain the PI
gains via a trial and error approach or extensive studies with
a tradeoff of performance and applicability. Hence, control
parameters for the optimal performance at a given operating
point may not always be effective at a different operating
point. To address the challenge, this paper proposes a new
control model based on adaptive PI control, which can self-
adjust the control gains dynamically during disturbances so
that the performance always matches a desired response,
regardless of the change of operating condition. Since the
adjustment is autonomous, this gives the “plug-and-play”
capability for STATCOM operation.
In the simulation study, the proposed adaptive PI
control for STATCOM is compared with the conventional
STATCOM control with pre-tuned fixed PI gains to verify
the advantages of the proposed method. The results show that
the adaptive PI control gives consistently excellent
performance under various operating conditions, such as
different initial control gains, different load levels, change of
the transmission network, consecutive disturbances, and a
severe disturbance. In contrast, the conventional STATCOM
control with fixed PI gains has acceptable performance in the
original system, but may not perform as efficient as the
proposed control method when there is a change of system
conditions.
Future work may lie in the investigation of multiple
STATCOMs since the interaction among different
STATCOMs may affect each other. Also, the extension to
other power system control problems can be explored.
REFERENCES
[1] F. Li, J. D. Kueck, D. T. Rizy, and T. King, “A
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©IAETSD 201613

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