Inter-Area Oscillation Damping using an STATCOM Based Hybrid Shunt Compensation Scheme

International Journal of Power Electronics and Drive System (IJPEDS)
Vol. 7, No. 4, December 2016, pp. 1172~1180
ISSN: 2088-8694, DOI: 10.11591/ijpeds.v7i4.pp1172-1180  1172
Journal homepage: http://iaesjournal.com/online/index.php/IJPEDS
Inter-Area Oscillation Damping using an STATCOM Based
Hybrid Shunt Compensation Scheme
Vahid Farzam, Ahad Mokhtarpour
Department of Electrical and Electronic Engineering, Tabriz Branch, Islamic Azad University Tabriz, Iran
Article Info ABSTRACT
Article history:
Received May 31, 2016
Revised Nov 5, 2016
Accepted Nov 17, 2016
FACTS devices are one of the latest technologies which have been used to
improve power system dynamic and stability during recent years. However,
widespread adoption of this technology has been hampered by high cost
and reliability concerns. In this paper an economical phase imbalanced shunt
reactive compensation concept has been introduced and its ability for power
system dynamic enhancement and inter-area oscillation damping are
investigated. A hybrid phase imbalanced scheme is a shunt capacitive
compensation scheme, where two phases are compensated by fixed shunt
capacitor (C) and the third phase is compensated by a Static Synchronous
Compensator (STATCOM) in shunt with a fixed capacitor (CC). The power
system dynamic stability enhancement would be achieved by adding
a conventional Wide Area Damping Controller (WADC) to the main control
loop of the single phase STATCOM. Two different control methodologies
are proposed: a non-optimized conventional damping controller
and a conventional damping controller with optomised parameters that are
added to the main control loop of the unbalanced compensator in order to
damp the inter area oscillations. The proposed arrangement would, certainly,
be economically attractive when compared with a full three-phase
STATCOM. The proposed scheme is prosperously applied in a 13-bus
six-machine test system and various case studies are conducted to
demonstrate its ability in damping inter-area oscillations and power system
dynamic enhancement.
Keyword:
Compensator (STATCOM)
Inter-area oscillations
Power system stability
Shunt compensation
Static synchronous
Copyright © 2016 Institute of Advanced Engineering and Science.
All rights reserved.
Corresponding Author:
Ahad Mokhtarpour,
Department of Electrical and Electronic Engineering, Tabriz Branch,
Islamic Azad University Tabriz, University Road, Tabriz Township, East Azarbayjan Country, Iran.
Email:a.mokhtarpour@iaut.ac.ir
1. INTRODUCTION
Low frequency inter-area oscillations have been observed when large power systems are
interconnected by relatively weak tie lines. These oscillations may sustain and grow to cause system
separation if no sufficient damping is available [1]-[2]. Traditional power system stabilizers (PSSs) have
been widely studied to solve the problem [3]. However, PSSs suffers a trouble of being liable to cause
considerable variations in the voltage profile and they may even result in leading power factor operation and
losing system stability under severe disturbances, especially those three phase faults which may happen at the
generator terminals. In recent years, the fast progress in the field of power electronics had opened new
opportunities for the application of the Flexible AC Transmission Systems (FACTS) devices as one of the
most effective ways to improve power system operation controllability and power transfer limits [4]-[5].
Through the modulation of bus voltage, phase shift between buses, and transmission line reactance, FACTS
devices can cause a substantial increase in power transfer limits during steady-state. Because of the extremely
fast control action associated with FACTS device operations, they have been very promising candidates for
utilization in power system damping enhancement. It is well known that utilizing a feedback auxiliary

IJPEDS ISSN: 2088-8694 
Inter-Area Oscillation Damping using an STATCOM Based Hybrid Shunt … (Vahid Farzam)
1173
control, in addition to the FACTS device main control, can greatly improve system damping [6]-[8] and can
also improve system voltage profile, which is advantageous over PSSs. Besides many merits which are
provided with FACTS devices, they are suffering from high initial costs, device complexity and low
reliability of these devices which means if a single point of failure occurs in a system, the system will be
entirely shut down. These barriers have convinced the researchers to search out for a solution and, in the
literature some new structures and systems have been introduced [9]-[15]. In [9]-[12] the Distributed FACTS
(D-FACTS) technology has been introduced. This newly born technology points a way to a novel approach
for achieving the power flow control, voltage stability, system oscillation damping and whole system
reliability.
The distributed nature of the suggested system makes it possible to achieve fine granularity in the
system rating. Moreover, it is possible to expand the system with the growing demand. This gives a salient
benefit in planning the system, which allows the planner to have control on available transfer capacity
(ATC). It is done in a way that the growing needs in power transfer (equal to 2% for every year) are satisfied
by installing new D-FACTS modules in the line for 10 years; this is done in order to meet project growth
needs without having to invest all the capital at the start of the project implementation or in [13]-[15] two
economical phase imbalanced series compensation concept has been introduced and their ability for power
system dynamic enhancement and inter-area oscillation damping have been investigated where the series
capacitive compensation in one phase is created using a single-phase TCSC (Scheme I) or a single-phase
SSSC (Scheme II) in series with a fixed capacitor, and the other two phases are compensated by fixed series
capacitors. The TCSC and SSSC controls are initially set such that their equivalent compensations at the
power frequency combined with the fixed capacitor yield a resultant compensation equal to the other two
phases. These two schemes would, definitely, be economically attractive when compared with a full
three-phase TCSC or SSSC, which have been used/proposed for power oscillations damping. Furthermore,
reducing the number of thyristor valves and VSC to one third will also have a positive impact on equipment
reliability.
The main contribution of this paper is introducing an economical phase imbalanced shunt capacitive
compensation concept and investigating its ability for power system dynamic enhancement
and inter-area oscillation damping. A shunt hybrid phase imbalanced scheme is a shunt capacitive
compensation scheme, where two phases are compensated by fixed shunt capacitor (C) and the third phase is
compensated by a single phase Static Synchronous Compensator (STATCOM) in shunt with a fixed
capacitor (CC). Certainly the proposed arrangement would, certainly, be economically attractive when
compared with a full three-phase STATCOM. The power system dynamic stability enhancement would be
achieved by adding an auxiliary damping controller to the main control loop of the single phase STATCOM.
In designing damping controller, the feedback signals could either comprise wide-area information through
utilization of PMUs dispersed over the network or be limited to merely local data captured at the line’s
sending end. Since this paper concentrates on the inter-area phenomenon on which is inherently a global
issue, wide area signals are used for the damping controller input signal [16]-[17]. To optimize the
parameters of the designed Wide Area Damping Controller (WADC) the Particle Swarm Optimization (PSO)
method is utilized. The PSO is a population based stochastic optimization algorithm, prompted by social
behavior of bird flocking or fish schooling [18]-[19]. In order to assess the capability of the PSO based
damping controller in oscillations suppression, a nonoptimized conventional damping controller is also
designed and enhanced to the main control loopof the unbalanced STATCOM to suppress the
oscillations.Finally the proposed approach is prosperously applied in a 16-bus six-machine test system
and various case studies are conducted to demonstrate the potential of the proposed approach.
2. PHASE IMBALANCED SHUNT COMPENSATION SCHEME
The STATCOM is a well-known shunt connected FACTS controller based on voltage source
converter (VSC). As illustrated in Figure 1, a typical STATCOM is realized with a three-phase VSC, a dc
link capacitor and an interfacing transformer. Also a filtering stage (not shown) is considered at the output of
the VSC for alleviating the harmonic pollution in the injected voltage [4].
The STATCOM is capable of generating or absorbing reactive power. By varying the amplitude of
the produced output voltages, the reactive power exchange between the converter and the ac system can be
controlled; hence, it gives the opportunity to control some specific parameters (e.g. voltage) of an electric
power system. To address in more details, the STATCOM main task is to control the voltage dynamically.
However, it is commonly expected to yield some ancillary duties such as power oscillation damping,
transient stability enhancement, voltage flicker control and so forth. Figure 1 also displays the main control
system of the single phase STATCOM considered here. From this figure it can be seen that the control
system requires three input signals including ac system bus voltage, V, converter output current oi and the

 ISSN: 2088-8694
IJPEDS Vol. 7, No. 4, December 2016 : 1172 – 1180
1174
bus reference voltage RefV . As illustrated, voltage Voperates a phase-locked loop (PLL) which determines
the basic synchronizing signal, angle . The reactive component of the output current oQI is extracted
and compared to the produced reactive current reference, QRefI . Ultimately the obtained error signal is
utilized to provide angle , which determines the necessary phase shift between the output voltages of the
converter and the ac system voltage. In the sequel when  is calculated, the dc link capacitor is charged or
discharged to the dc voltage level required [4].
A phase imbalanced STATCOM is a shunt compensation scheme, where two phases are
compensated by fixed shunt capacitor (C) and the third phase is compensated by a single phase STATCOM
paralleled with a fixed capacitor ( CC ) as shown on Figure 2. The phase imbalance of proposed Scheme can
be explained mathematically as follows. At the power frequency, the reactive power for phases a, b and c are
given by:
cba QQQ  (1)
STATCOMCcc QQQ  (2)
During any other frequency, Fe
STATCOMSTATCOMCcc QQQQ  (3)
The first terms in (2) and (3) are different because of the difference in frequency. The third term
in (3) represents the change in effective reactive power of the single phase STATCOM due to the action of
the STATCOM supplementary damping controller that has been added to yhe main control loop of
STATCOM to inter area oscillation mitigation. As said on section 1 this scheme would, definitely, be
economically attractive when compared with a full three-phase STATCOM. This paper introduces this
economical scheme and evaluates the effectiveness of the scheme in damping oscillations. Time domain
simulations were conducted on a benchmark network using the Matlab.
Figure 1. STATCOM Control system
CCQ
aQ
CCCC
bQ CQ
STATCOMQ
STATCOM
Figure 2. Schematic Diagrams of the Hybrid Shunt Compensation Schemes
C
activeRe
current
computer
PLL
oi
oQI
Error
Amplifier
 
oV
Gate
iclog
pattern
Auxiliary
Signal
V
STATCOM
V
dcV
oi
fReQI
fReV
V
oV
Error
Amplifier
Damping
fRe
*
V

1175
3. STUDY SYSTEM
The power system adopted for this study is illustrated in Figure 4 [13]-[14] and [17]. It has
originally 15 buses and six machines in three areas. Although this is a test system, it well serves to illustrate
the concept, which remains the same for large systems. To keep the voltage profile of the system constant,
shunt capacitors are installed at buses 7, 9, and 15. For the nonlinear time domain simulation, generators are
modeled in the d-q-o reference frame and transmission lines are represented in the π model. It is worth
mentioning that the dynamics of generator excitation is also considered in the simulation. The comprehensive
data of the power system are given in the Appendix A. For applying the phase imbalanced shunt compensator
in the system, a single phase STATCOM is installed instead of one phase of shunt capacitor that installed on
bus 7 and the STATCOM contribution in the hybrid compensated phase is 0.5 p.u. of the total reactive
compensation. However, the optimal location of reactive power compensator in practical and large power
systems is vital point and requires comprehensive studies [21].
The power system under study has five distinct oscillatory modes: three local modes and two
inter-area modes which have been obtained by the Eigen value analysis. The inter-area mode 1 is
characterized by having a slightly higher frequency (0.78 Hz) than mode 2 (0.46 Hz). Mode 1 consists of
generators of area 1 swinging against those of area 3. While, mode 2 consists of generators of area 2
oscillating against those of areas 1 and 3 [14]. As a result, in order to mitigate the unstable oscillation modes,
a PSO-based is designed and added to the main control loop of the unbalanced STATCOM.
Figure 4. Three-Area Six-Machine Power System Aggregated with an Unbalanced STATCOM
4. POWER OSCILLATIONS DAMPING CONTROLLER DESIGN
As explained in Section III, the system under study has five distinct modes. These oscillatory modes
are to be damped by an auxiliary damping controller that is added to the main control loop of the unbalanced
STATCOM. Among crucial requirements of implementing auxiliary damping controllers is figuring out its
best location. This task should be done with two major objectives: (i) providing an effective damping of
oscillations and (ii) minimizing the possible interactions between STATCOM reactive power and damping
controllers.
One of the fundamental issues in designing the damping controller is the selection of feedback
signals to achieve the best modal observability and optimal oscillation damping [22]. Any kind of input
signal with sufficient modal observability of inter-area oscillation can be used; amongst are the active power
of tie lines, voltage angle differences between areas, rotor angular speed differences between generators, etc.
Generally, the damping controller input signals can be classified in twofold groups: local signals and wide-
area ones. As a result, two sorts of solutions exist for designing damping controllers: the decentralized
approach based on local signals and the centralized approach exploiting wide-area information. The main
advantage of the former solution comes from the fact that no telecommunication infrastructure is needed. The
expense of this method is that it will suffice to economically and efficiently satisfy the damping requirements
of the present/future heavily stressed networks with credible inter-area oscillation modes. In contrast, the
centralized technique offers more effective outcomes at the expense of having fast communication
infrastructure. Clearly, in a practical environment, selection of either centralized or decentralized solution
depends on a given power system characteristics and its communication facilities. With respect to Figure 4
the power system under study equipped with PMUs, wide area signals used as damping controller input

 ISSN: 2088-8694
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signal. Opposite to the conventional measurement devices, PMUs are synchronized respect to each other
through the one pulse per second signals of the global positioning system. This new opportunity realized the
true concept of measuring phase angles which inherently encompass valuable information of the system
stress situation. The huge infrastructure which is in charge for gathering the PMUs’ data in a central
location(s) is referred to as WAMS. Autonomous control including oscillation damping is among advanced
functionalities imagined for WAMS. Clearly, the WAMS potential in feeding WADCs is directly dependent
to the number and location of PMUs deployed in the grid. The PMU placement problem is a broadly
investigated research area and various aspects of this problem have been so far digested in dept [23]-[25].
Intuitively, it can be deduced that for oscillation damping objective a limited number, but geographically
distributed, of PMUs would work sufficiently. The numerical studies presented in the following support this
conclusion.
One of the main advantages of WADCs is its capability in designing multi-band damping
controllers. Each band of the WADC has its own global input signal for damping one of the oscillation
modes. As the system under study has two inter-area modes, a simple two-band classic controller is
considered which is represented in Figure 5. Each controller is a conventional damping controller that is
shown in Figure 6. Band controllers are denoted by WADC1 and WADC2 and the whole unit is recognized
by WADC.
+
WADC1
3113  
WADC2
5115  
++
1W
2W
1SignalDamping
2SignalDamping SignalDamping
Figure 5. The Two-Band WADC Designed for the Three-Area Power System
sT1
sT
w
w
 sT
sT
4
3
1
1


K
max
min
SignalInput 1SignalDamping
sT1
sT1
2
1


Figure 6. The Block Diagram of the Classical Damping Controller
It is apparent that to damp out multi-mode oscillations, two suitable supplementary signals
containing both modes of oscillations are necessary. Any kind of input signal that has a good modal
observability of inter-area oscillation can be used such as the power of tie line interconnecting two areas,
frequency difference between two areas, angle difference of two buses in two areas, etc.
Generally, the PMU firstly receives the sinusoidal waveforms of three-phase voltages and currents,
then converts the sampled digital data to the phasor values, and finally sends the information to the regional
or system control center [26]. Although the PMU computed frequency and its rate of change are based on
local voltage measurements, there are several approaches to calculate the generator speed through local PMU
measurement [27]-[29]. Frequency is a key indicator for the system stability and generation/demand balance.
This parameter or its derivatives such as rotor speeds and their rates of change are usually implemented as the
damping controller feedback signal [11]-[12] and [17]. To this end, high voltage buses associated with G1,
G3 and G5 are assumed to be equipped with PMUs and 3113 -  and 5115 -  are chosen
as global feedback signals. For damping the inter-area mode 1 (0.78 Hz), WADC1 is used whose input is
15 and WADC2 is responsible for damping the oscillation mode 2 (0.46 Hz) with input of 13 . As shown
in Figure 5, the output of WADCs are weighted and summed up to generate the WADC output, which is
)2(*)1(* 21 SignalDampingWSignalDampingWSignalDamping  (4)

1177
W1 and W2 are weighting factors and are chosen inversely proportional to the normalized damping
ratio of their dominant mode obtained from the Prony analysis (W1=1.15, W2=1) [14]. The WADC output is
finally employed for modulating the reactive power loop of the STATCOM (see Figure 1).
It has to be noted that the communication system is thus far assumed to be delay free in the design
process which is not the case in real world observations and the communication latency should be considered
in design procedure. The authors intend to work on this issue in future while many good pioneer research is
available presently [18] and the controller designed in this paper is an ideal WADC without considering
latency in wide area signals. The proposed WADC is implemented in the simulation setup and its parameters
are tuned through the PSO technique. İn the following a quiet explanation about optimisation of WADC
parameters has been presented.
4.1. PSO Algorithm
In the PSO technique, there are some simple entities (particle) which their trajectory in the search
space can be adjusted by dynamically regulating the velocity of each particle. Generally, a predefined
objective function will be defined by the user, and then the best value of the objective function that is
achieved by the ith
particle is expressed as Pbest. Furthermore, the overall best value of the objective function
obtained by the particles at every time step (gbest) is calculated through the algorithm. Then, each particle’s
velocity and position is being updated by [18]-[19]:
))(())(()()1( 2211 tXPrctXPrctwVtV idgdidididid  (5)
)()1()( tcVtXtX ididid 
(6)
Where, Vid is the velocity of the ith
particle, Xidis the position of the ith
particle, Pidand Pgd are Pbest
and gbest, respectively. c1 andc2 are positive constants which are responsible for alternation of the particle
velocity toward Pbest and gbest, r1 and r2are two random constants between 0 and 1 and c is a factor which
can modify the velocity of the particle to adjust the position of each particle in the next iteration. w, inertia
weight, is defined to balance the local and global searches. Hence, the PSO algorithm searches for the
optimal minimum value of the objective function and updates the velocity and particle’s location in each
iteration. The iterative process will be terminated when the stopping criterion is met.
If the parameters of damping controller are properly optimized, the damping of oscillation will be
resulted effectively. For this reason, damping controller parameters will be optimized by the PSO algorithm.
In this study, the objective function to be minimized by PSO is come from the generators rotor speed
deviations. This objective function is an integral of time multiplied by the absolute value of the power
deviation, that is
dtWtJ
simt
13..
0
  (7)
Where, simt is the total simulation time and 13W is the generators rotor speed deviations. The
optimization is subjected to parameter limits, i.e.
maxmin KKK  , max11min1 TTT  , max22min2 TTT  , max33min3 TTT  , max44min4 TTT 
It has to be pointed out that the above parameters are associated with the damping controller
and would be introduced in the next section. Here, the ranges for parameters are as follows. K [0.01-40]
and T1, T2, T3, T4[0.0001-2]. Associated with PSO algorithm, the number of particles, number of iterations,
c1, c2, c, and w are set to 50, 200, 2, 2, 1, and 0.85, respectively and the final values of parameters are
presented in Appendix B.
5. SIMULATION RESULTS
This section demonstrates the capability of the proposed STATCOM based hybrid shunt
compensation scheme in damping inter-area oscillations. As seen on Figure 4, for this propose fixed
capacitor of one phase installed on bus 7 is replaced with an unbalanced. The parameters of the unbalanced
STATCOM are shown in appendix C. For the sake of simulation, it is assumed that in the system shown in
Figure 4, a three-phase to ground fault occurs on bus 8 and lasts for 200 ms. this fault stimulates oscillation

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of the system. Figures 7 and 8 show the rotor speed difference between G1 and G3 and the rotor speed
difference between G1 and G2 as well as their damping behavior in three situations of fixed shunt
compensator and Hybrid shunt compensation with optimized and non-optimised damping controllers. The
inter-area oscillation is measured by rotor speed difference of G1 and G3 and the local oscillation is
measured by rotor speed difference of G1 and G2. As shown in Figures 7 and 8, in the case fix shunt
compensation, the system experiences severe fluctuations with very low damping. However, in the case of
hybrid shunt compensation that in one phase a STATCOMis placed instead of a fixed shunt capacitor, both
supplementary controllers of unbalanced compensation system leads to damping of oscillations but an
effective damping of oscillations after the event of fault is achieved when PSO based damping controlleris
added to main controllers of unbalanced STATCOM. Moreover, in the figure legends, “Fixed” refers to the
system performance with fixed capacitor compensation.
Figures 9 show the tie-line (7–9, line 1) power flow time responses of the test benchmark during
and after disturbance. Comparing the responses of the fixed shunt compensation to the hybrid shunt
compensation scheme in this Figure, the favorable contribution of the proposed hybrid scheme to the
mitigation of the inter-area oscillations is very understandable. As it can be seen from Figures 7 and 9, the
power oscillations damping controller decrease the first swing and effectively damps the subsequent
oscillations.
In Figure 10, the bus voltage, and damping controller output signal of the STATCOM are plotted.
As observed from these figures, unlike the fixed shunt compensation, the hybrid scheme effectively preserves
the system stability after disturbance and damps both inter-area and local oscillations. The results of
simulation obviously show that, in the case of PSO based WADC, the performances of damping controller is
by far better than the case that WADC parameters is achieved by trial and error method. This is because the
parameters of PSO based WADC tuned with an optimization method.
Figure 7. Rotor Speed Difference between G1
and G3, during and After Disturbance
Figure 8. Rotor Speed Difference between G1
and G2, during and After Disturbance
Figure 9. Tie-line power flow time responses during
and after disturbance
(a)
(b)
Figure 10. Performance of Unbalanced STATCOM
during and After Disturbance: (a) STATCOM bus
Voltage and (b) STATCOM Damping Controller
Output Signal
0 5 10 15
-2
0
2
x 10
-3
time (s)
W1-W2(p.u)
Without Damping Controller
With non-optomised Damping Controller
With PSO Based Damping Controller
0 5 10 15
0.9
1
1.1
time (s)
Vstatcom(p.u)
0 5 10 15
-0.2
0
0.2
time (s)
DampingSignal(p.u)

1179
6. CONCLOSION
This work is mainly dedicated to investigate the capability of a new “hybrid” shunt compensation
schemes in damping inter-area oscillations. The presented hybrid shunt compensation schemes is easily
achievable, technically sound, and have an industrial application potential. A six-machine three area power
system is put under investigation in order to verify the proposed scheme capability on inter-area oscillation
damping. The power system dynamic stability enhancement achieved by adding two wide area, damping
controllers. A non-optimized conventional damping controller and a conventional damping controller with optomised
parameters. The PSO algorithm is used to solve optimization problem. Both damping controllers are added to
the main control loop of the proposed shunt compensator. With respect simulation illustrations, it was
observed that as the time goes on, the proposed hybrid compensation equipped with auxiliary damping
controller would damp all inter-area and locally oscillation modes; also the results of simulation showed that,
in the case of PSO based WADC, the performances of damping controller was by far better than the case that
WADC parameters were achieved by trial and error method.Hence, the effective performance of proposed
unbalanced shunt compensation in the system oscillation damping was validated.
Appendix A Power System Data
Generator Data: 900 MVA, 20 kV, ra = 0.0025 p.u., xl= 0.2 p.u., xd = 1.8 p.u., xq = 1.7 p.u., x‫׳‬d = 0.3
p.u., x‫׳‬q = 0.55 p.u., x‫״‬d = -0.25 p.u., x‫״‬q = 0.25 p.u., T‫׳‬
do = 8 s, T‫״‬do = 0.03 s, T‫׳‬qo = 0.4 s, T‫״‬qo = 0.05 s,
H(G1&G2) = 6.5 s, H(G3&G4) = 6.175 s, H (G5) = 5.5 s, H(G6) = 5 s.
Generator Steady State Data: G1: V = 1.04 ∟0o
p.u., G2: P = 700 MW, V = 1.01 p.u., G5: P = 800
MW, V = 1.02 p.u., G6: P = 780 MW, V = 1.01 p.u. Transmission Line Data: r = 0.053 Ω/km, Xseries = 0.53
Ω/km, Yshunt = 5.21 μS/km. Bus 7 load: 1400 + j100-j350, Bus 9 load: 1800 + j100 – j500, Bus 15 load:
1200 + j300 – j220.
Appendix B
Table 1. Parameters of the STATCOM based WADCs
Type K TW T1 T2 T3 T4 min & max
WADC1 9 2 0.012 0.89 1.11 0.011 ±0.2
WADC2 16 2 0.032 1.3 0.014 0.044 ±0.2
Appendix C STATCOM Data
Rated Power = 25 MVA, Rated Voltage = 26 KV, Frequency = 60 Hz, XT(sh) = 0.1 p.u. Switching
Frequency = 15KHz.
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BIOGRAPHIES OF AUTHORS
Vahid Farzam was born in Tabriz, Iran, September 1992. He received the B.Sc. and the M.Sc.
degrees in electrical engineering from the Islamic Azad University of Tabriz, Tabriz, Iran, in
2013 and 2016, respectively. His research interests arein advanced power electronic, flexible AC
transmission system (FACTS), power quality, renewable energy, wide area measurement system,
and power system dynamics.
Ahad Mokhtarpour was born in Tabriz, Iran, 1979. He received the B.S. degree from University
of Tabriz, Tabriz, Iran, M.S.E. degree from Iran University of Science and Technology, Tehran,
Iran and Ph.D degree from Islamic Azad University, Science and Research Branch, Tehran, Iran
all in Electrical Engineering in 2003, 2005 and 2013, respectively. Currently he is with
Departement of Electrical and Computer Engineering,Tabriz Branch, Islamic Azad University
Tabriz, Iran as an Assistant Professor. His research interests are in the power quality
compensation, FACTS device, distribution network control and reliability.

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