Power flow control in parallel transmission lines based on UPFC

Bulletin of Electrical Engineering and Informatics
Vol. 9, No. 5, October 2020, pp. 1755~1765
ISSN: 2302-9285, DOI: 10.11591/eei.v9i5.2290  1755
Journal homepage: http://beei.org
Power flow control in parallel transmission lines
based on UPFC
Mohammed Y. Suliman, Mahmood T. Al-Khayyat
Department of Technical Power Engineering, Technical College, Northern Technical University, Iraq
Article Info ABSTRACT
Article history:
Received Feb 19, 2020
Revised Apr 12, 2020
Accepted May 20, 2020
The power flow controlled in the electric power network is one of the main
factors that affected the modern power systems development. The unified
power flow controller (UPFC) is a FACTS powerful device that can control
both active and reactive power flow of parallel transmission lines branches.
In this paper, modelling and simulation of active and reactive power flow
control in parallel transmission lines using UPFC with adaptive neuro-fuzzy
logic is proposed. The mathematical model of UPFC in power flow is also
proposed. The results show the ability of UPFC to control the flow of powers
components "active and reactive power" in the controlled line and thus
the overall power regulated between lines.
Keywords:
ANFIS
FACTS
Power balancing
UPFC
VSC This is an open access article under the CC BY-SA license.
Corresponding Author:
Mohammed Y. Suliman,
Department of Technical Power Engineering,
Technical college, Northern Technical University, Mosul, Iraq.
Email: mohammed.yahya@ntu.edu.iq
1. INTRODUCTION
The unified power flow controller (UPFC) is a universal AC transmission controller having three
main functions those are real and reactive power control, reactive power compensation and voltage
regulation. There are several ways to introduce and explain the concept of UPFC. These include
mathematical approach, phasor diagrams, or various plots showing graphically relationships among the main
transmission parameters, active and reactive power, voltage, line impedance, and transmission angle.
The UPFC consists of two converters connected back‐to‐back, one connected in series and the other in
parallel with the transmission line as shown in Figure 1. The shunt type of converter is mainly used to deliver
active power demand in the series converter through a common DC link. Shunt converter generate or absorb
reactive power, as desired, and thereby provide independent shunt reactive compensation for the line.
The voltage with controllable magnitude and phase angle is injected in series with the line via a series
converter. The UPFC injection model is derived enabling three parameters to be simultaneously controlled.
They are namely the shunt reactive power, magnitude, and phase angle, of the injected series voltage Vs.
“The series-connected voltage source” is modeled by an ideal series voltage Vs which is controllable in
magnitude and phase. The distributed power in the transmission lines system depends on the transmission
line impedance. The UPFC is a member of the 2nd
generation of FACTS which uses the concept of
synchronous voltage source converter (VSC) for giving a uniquely comprehensive ability for transmission
line control [1].
UPFC able to control the independent flow of both active and reactive power [2]. In recent years,
new artificial intelligence-based approaches have been proposed to design a FACTS-based power flow [3].
Surya Prakash and Satish Kumar [4] use IUPQC to enhance power quality as well as to exchange power from

 ISSN: 2302-9285
Bulletin of Electr Eng & Inf, Vol. 9, No. 5, October 2020 : 1755 – 1765
1756
one line to the other but this system uses four converters. A. Ajami and S.H. Hosseini [5] uses UPFC for
current balancing and power control for one line they used the PSCAD simulation program. M. Y. Suliman
and R. K. Antar [6] used STATCOM for controlling the power in a transmission line with a neuro-fuzzy
algorithm. M.A.M. Manaz, et al [7] show the ability of the control algorithm to minimize power fluctuation is
justified using STATCOM like device with considerably small storage could be used at the transformer end
to balance the resulting mean zero fluctuation. In [8] the authors proved that the capacity of the series
converter is reduced when the series converter is placed on the substation side of the distribution system
while the shunt converter is placed on the ending side. The contribution of this study is to use a unified power
flow controller for balancing active and reactive power flow in parallel transmission lines with adaptive
neuro-fuzzy logic. The results show the ability of UPFC to control the flow of active and reactive power in
the controlled line and thus the overall power regulated between lines. Power balancing philosophy is
illustrated in Figure 2.
i j
Shunt
Transformer
c
+
-
UPFC
Series Conv.
Shunt Conv.
Series
Transformer
Figure 1. Basic UPFC model
Start
Is P & Q exceed line
rating
Vary the injected phase angle
Stop
Yes
Calculate Power Flow
Calculate P and Q for each line
Is the voltage within
nominal range
Yes
No
Vary the injected phase
amplitude
No
Is the load changed ?
Yes
No
Figure 2. Power balancing philosophy

Bulletin of Electr Eng & Inf ISSN: 2302-9285 
Power flow control in parallel transmission lines based on unified power… (Mohammed Y. Suliman)
1757
2. MODELLING OF THE UNIFIED POWER FLOW CONTROLLER
It is convenience to model the UPFC converter as a controllable voltage source is shown in Figure 3.
The two ideal series and shunt voltages source equations of the UPFC are:
𝑉
𝑠𝑒 = |𝑉
𝑠𝑒|(𝑐𝑜𝑠𝜃𝑠𝑒 + 𝑗𝑠𝑖𝑛𝜃𝑠𝑒) (1)
𝑉𝑠ℎ = |𝑉𝑠ℎ|(𝑐𝑜𝑠𝜃𝑠ℎ + 𝑗𝑠𝑖𝑛𝜃𝑠ℎ) (2)
2
B
3
B
1
UPFC Bus=B
P1+jQ1 P2+jQ2 P3+jQ3
Transmission
Line
TL
Z
c
Y
2
1
j
c
Y
2
1
j
sh
V
sh
Z
se
Z
se
V
UPFC
2
B
sh
+jQ
sh
P
se
+jQ
se
P
Figure 3. Voltage source model of the UPFC
UPFC operates by adding a controlled voltage of variable magnitude and phase angle at the power
system frequency (Vinjected) as shown in Figure 4. UPFC can operate in two modes reactive
compensation and load angle control depending on the reference signal line current or phase voltage [8, 9].
In this paper UPFC operates as a load angle control by taking the phase voltage as a reference for injection,
this done by kept the injected voltage phase angle (ψ) in the quadrature phase shift with the system phase
voltage instead of the current. consequently, UPFC is controlling the phase angle "load angle" between
sending end and receiving ends of the transmission system [10, 11]. The "active and reactive power flow" can be
regulated between the two ends of the transmission system by controlling the injected voltage magnitude
and phase angle:
𝑉𝑖𝑛𝑗𝑒𝑐𝑡𝑒𝑑 = |𝑉𝑖𝑛𝑗𝑒𝑐𝑡𝑒𝑑| < ±𝜓 (3)
Bus 1
Line 1
Line 2
Bus 2 Bus 3
Transformer
Load
P1 Q1
P2 Q2
m
V
c
+
-
UPFC
Series Conv.
Shunt Conv.
injected
V
m
V
2
V
Figure 4. Schematic diagram of UPFC
From Figure 4, the active and reactive power flow in controlled transmission system after inject
the controllable voltage (Vinjected=Vs) are:
𝑃 =
𝑉𝑚𝑉3
𝑋
sin(𝛿 ± 𝜓) (4)

 ISSN: 2302-9285
1758
and
Q =
Vm
2
X
−
VmV3
X
cos(δ ± ψ) (5)
Where Vm is the controlled bus voltage and ψ the phase angle of the injected voltage, V3 is
the receiving end voltage and X is the reactance of the transmission line. the connect of the series converter in
series with the one of parallel transmission.
The UPFC injects a controllable voltage so that the active and reactive power add or subtract with
the power flow in the control transmission line and. The regulated line powers can be achieved with any
proportions wanted. The injected voltage injects a sinusoidal controllable voltage (depending on the
frequency of switching devices and configuration of the inverter) with variable amplitude [12]. UPFC can
operate in a phase shift regulator and emulate as a controller of power flow [13, 14]. VSI is the main part of
UPFC. Shunt VSI is energized by AC line itself, while the series VSC is fed by the shunt VSC through
the DC link. The injected voltage Vs has two parameters the amplitude (0<Vs<Vsmax) and phase angle
(0<ψ<3600
) as shown in Figure 5.
Vm
Ψ
Vs
V2
V3
I
δ
Series VSC limit
Figure 5. Vector diagram of UPFC function
The total "active and reactive power" in transmission line 2 are:
𝑃𝑇 = 𝑃2 ± 𝑃𝑝𝑞 (7)
𝑄𝑇 = 𝑄2 ± 𝑄𝑝𝑞 (8)
where; 𝑃𝑝𝑞 is the injected active power and 𝑄𝑝𝑞 is the injected reactive power.
Depending on (7, 8) the active and reactive power can be regulated by adding or subtracting
the injection powers.
3. ACTIVE AND REACTIVE POWER NEASUREMENT AND CONTROL
The d-q theory was applied to measure the power components (active & reactive). It is based on
time-domain also valid for the operating system in both steady-state and transient and can apply for generic
waveforms of current and voltage in power system [15]. The simplicity of calculations is another advantage
of this theory, which includes algebraic calculation except the required for separating the alternated and mean
values of power components calculation [16]. The d-q theory implements “park transformation” to transform
the a-b-c coordinates (stationary reference) to rotating coordinates or d-q coordinates [17]. The transformation
is applied for voltages in the time domain as a standard frame (i.e. va, vb and vc) is as follows:
[
𝑣𝑑
𝑣𝑞
𝑣0
] =
2
3
[
cos(∅) cos( ∅ −
2𝜋
3
) cos(∅ +
2𝜋
3
)
−sin⁡(∅) −sin⁡(∅ −
2𝜋
3
) −𝑠𝑖𝑛(∅ +
2𝜋
3
)
1
2
1
2
1
2 ]
[
𝑣𝑎
𝑣𝑏
𝑣𝑐
] (9)

1759
[
𝑖𝑑
𝑖𝑞
𝑖0
] =
2
3
[
cos(∅) cos( ∅ −
2𝜋
3
) cos (∅ +
2𝜋
3
)
− sin(∅) − sin (∅ −
2𝜋
3
) −𝑠𝑖𝑛(∅ +
2𝜋
3
)
1
2
1
2
1
2 ]
[
𝑖𝑎
𝑖𝑏
𝑖𝑐
] (10)
∅ = (𝜔𝑡 + 𝜃) (11)
where (∅) is the phase shift between the rotating and fixed coordinates with respect to time, also (θ)
represents the phase shift between the voltage and line current. Two power components compensated can be
calculated by:
𝑝 = 𝑉𝑑𝐼𝑑 + 𝑉
𝑞𝐼𝑞 (12)
𝑞 = 𝑉𝑑𝐼𝑞 − 𝑉
𝑞𝐼𝑑 (13)
4. CONTROL SCHEME OF COMPENSATOR
Figure 6 shows the control scheme of the compensator. The voltages and currents (three phase) are
measured and for eliminating the noise "high-frequency components" the inputs are filtered then the active
and reactive power calculated using park transformation (9) to (13). From the system, these measured signals
in (29, 30) work as inputs to the closed-loop control (as feedback). The desired reference values of active and
reactive power pref and qref are compared with the calculated values of measured values for generating error
signals Errorp and Errorq. These signals are processed in the controller where:
𝐸𝑟𝑜𝑟𝑟𝑃 = 𝑝𝑟𝑒𝑓 − 𝑝 (14)
𝐸𝑟𝑜𝑟𝑟𝑞 = 𝑞𝑟𝑒𝑓 − 𝑞 (15)
Low Pass Filter
Va
Vb
Vc
Ia
Ib
Ic
PLL
ω
+
-
+
- Neuro-Fuzzy System
ABC to dq Transformation
ref
P ref
Q +
ϒ
Ψ
PWM
PWM
m
Voltage injected
Angle
Modulation Index
-
A
A
Reference
Signal
Ψ
m
Carrier Signal
-
-
Output
Signal
-
-
PWM
Figure 6. UPFC control system block diagram
Logic control with neuro-fuzzy system is adequate for ununcertain systems, especially to the system
with a difficult to derive its model mathematically. Neuro-Fuzzy logic plays an important function in many
applications especially the practical [18]. Takagi-Sugeno " TS " choose in this study as inference mechanisms
[19]. The artificial neural network (ANN) is used for tuning the TS-controller membership functions. TS-
fuzzy logic has variable non-linear gain. The controller provides a wide gain variation. The use of ANN for
adapting the fuzzy system parameters which can achieve a better response. Combine the fuzzy specific
approach with adaptive learning, this type of control can be trained easily and don’t need for a big expert for
knowledge as required in the conventional Mamdani-fuzzy logic [20]. By using the ANN learning algorithm,
the rule-base can be reduced. The parameters of input and output MF "membership functions" are to be
specified through the period of training [21]. ANFIS controller designed consists of 5-layers, which in each
layer has constant nodes (no need to tune) or variable node (need to tune) through training period [22].
The 7-layers outputs emulate ANFIS design procedure referring to [23]. The advantage of using the ANN
algorithm is for adjusting the parameters of the membership functions of output and input so that the output
of neuro-fuzzy best matching the data of training [24]. A hybrid learning (lease squares estimate-LSE and gradient
descent-GD) is used to identify the parameters network [25]. In this study. The inputs are split into 9 trapezoidal
membership functions" with overlapping of 50%, so, the two vector inputs a "49-control rule resultant linear

 ISSN: 2302-9285
1760
functions required to be determined. Figure 7 shows the validation test while Figure 8 shows the tuning
TS-rules using ANN. The vector's inputs are Ep and Eq, the output m "modulation index". Figures 9 and 10 show
the Fuzzy logic layers and the validation surface of the Fuzzy logic system respectively.
Figure 7. Fuzzy logic validation test
Figure 8. TS-rules using ANN
Figure 9. Neuro-fuzzy design

1761
Figure 10. Neuro-fuzzy logic validation surface
5. SIMULATION STUDY
The proposed model study was consisting of a distribution 2-branch feeders with as shown
in Figure 11. UPFC installed to control the power in transmission line 2. The compensator is provided by a
DC-link that helps in absorbing or feeding the reactive or active power. The test starts by making the bus-2 as
PV node then the analysis of load flow through the network using “Newton-Rapheson method”, the total
power and the powers in both branches without compensation are calculated. The compensation process is
done by injecting a control voltage (Vinjected) which was in making with phase voltage in quadrature. First, the
model test is done by a “one-step change” in the load, before 5.0 seconds the power in unbalance between
the parallel transmission lines at t=5.0 second UPFC inject the controllable voltage the controllable injected
current and voltage are shown in Figures 12 and 13 respectively, in the other hand the rms line currents of
the parallel transmission lines shown in Figure 14. Figures 15 shows the rms of two-bus voltage. The change
in active and reactive power flow after injection are shown in Figures 16 and 17 respectively. All of the
results are given in pu.
Figure 11. Two lines power control with UPFC

 ISSN: 2302-9285
1762
Figure 12. The injected current vs. line current
Figure 13. The injected voltage vs. bus voltage
Figure 14. Line currents

1763
Figure 15. Bus voltages
Figure 16. Two-line active power
Figure 17. Two-line reactive power

 ISSN: 2302-9285
1764
6. CONCLUSION
In this study, modeling of active and reactive power flow control in parallel transmission lines using
UPFC is presented. The amplitude and the phase angle of controllable voltage can be adjusted by a series
converter of UPFC so that they can inject the controllable voltage that can regulate the components of
the power (active and reactive) and then regulates the powers through the parallel transmission lines.
To control the UPFC a neuro-fuzzy logic controller was designed. Simulation results show that
the significant management of the powers “active and reactive” in parallel lines is obtained by dividing the
whole power between the parallel transmission lines.
REFERENCES
[1] Narain G. Hingorani ; Laszlo Gyugyi, “Understanding FACTS, Concepts and technology of flexible AC
transmission systems,” Wiley-IEEE Press, pp. 452, 2000.
[2] X. Zhang and C. Rehtanz, “Flexible AC Transmission Systems: Modelling and Control,” Springer press,Verlag
Berlin Heidelberg, 2012.
[3] M. T. Alkhayyat1 and S. M. Bashi, “A New Survey for Optimum Power Flow with Facts Devices,” International
Journal of Electrical & Electronic Systems, OMICS, vol. 5, no. 4, pp. 1-5, 2016.
[4] S. P. Thota and S. K. Peddapelli, "Fuzzy Controller based Interline Unified Power Quality Conditioner (IUPQC) in
Multi-feeder Systems," 2019 International Conference on Engineering, Science, and Industrial Applications
(ICESI), Tokyo, Japan, pp. 1-5, 2019.
[5] A. Ajami and S. H. Hosseini, "Line current balancing using unified power flow controller," 2004 IEEE Region 10
Conference TENCON 2004., Chiang Mai, vol. 4, pp. 183-186, 2004.
[6] M. Y. Suliman and R. K. Antar, “Power flow controller based on a new proposed statcom controller,” International
Journal of Engineering & Technology, vol 7, no 4, pp. 3826-3829, 2018.
[7] M. A. M. Manaz, D. B. W. Abeywardana, M. G. C. P. Mediwaththe, K. M. Liyanage and A. Yokoyama, "Active
and reactive power balancing of Ubiquitous power networks considering voltage constraints," 2012 IEEE 7th
International Conference on Industrial and Information Systems (ICIIS), Chennai, pp. 1-6, 2012.
[8] M. Kano, T. Maekawa, T. Takeshita and Y. Kunii, "Comparison of converter arrangement of series and shunt
converters in UPFC for distribution system control," 2016 IEEE International Conference on Renewable Energy
Research and Applications (ICRERA), Birmingham, pp. 431-436, 2016.
[9] M. Y. Suliman and M. Emad Farrag, "Power Balance and Control of Transmission Lines Using Static Series
Compensator," 2018 53rd International Universities Power Engineering Conference (UPEC), Glasgow,
pp. 1-5, 2018.
[10] N. Kaarunya and J. Muruganandham, "Performance Analysis of Static Synchronous Series Compensator and
Interline Power Flow Controller," 2018 International Conference on Communication and Signal Processing
(ICCSP), Chennai, pp. 0888-0892, 2018.
[11] L. Wang and Q. Vo, "Power Flow Control and Stability Improvement of Connecting an Offshore Wind Farm to a
One-Machine Infinite-Bus System Using a Static Synchronous Series Compensator," in IEEE Transactions on
Sustainable Energy, vol. 4, no. 2, pp. 358-369, April 2013.
[12] Aziz Oukennou, Abdelhalim Sandali, Samira Elmoumen, “Coordinated Placement and Setting of FACTS in
Electrical Network based on Kalai-smorodinsky Bargaining Solution and Voltage Deviation Index,” International
Journal of Electrical andomputer Engineering (IJECE), vol. 8, no. 6, pp. 4079-4088, part I, December 2018.
[13] S. Panda, and N. P. Padhy, “Comparison of particle swarm optimization and genetic algorithm for FACTS-based
controller design,” Appl. Soft Comput., vol. 8, no. 4, pp. 1418-1427, 2008.
[14] M. Y. Suliman and S. M. Bashi, "Fast response SSSC based on instantaneous power theory," 2013 International
Conference on Electrical Communication, Computer, Power, and Control Engineering (ICECCPCE), Mosul,
pp. 174-178, 2013.
[15] S. H. Qazi and M. W. Mustafa, “Improving Voltage Profile of Islanded Microgrid using PI Controller,”
International Journal of Electrical and Computer Engineering (IJECE), vol. 8, no. 3, pp 1383-1388, June 2018.
[16] DiptiMohanty and et al, “Modelling, simulation and performance analysis of FACTS controller in transmission
line,” International Journal of Emerging Technology and Advanced Engineering, vol 3, no. 5, pp. 428-435, 2013.
[17] V. Ponananthi and B. R. Kumar, "Three-phase statcom controller using D-Q frame theory for a three-phase SEIG
feeding single phase loads," 2015 2nd International Conference on Electronics and Communication Systems
(ICECS), Coimbatore, pp. 926-931, 2015.
[18] E. H. Watanabe, M. Aredes, J. L. Afonso, J. G. Pinto, L. F. C. Monteiro and H. Akagi, "Instantaneous p–q power
theory for control of compensators in micro-grids," 2010 International School on Nonsinusoidal Currents and
Compensation, Lagow, pp. 17-26, 2010.
[19] M. Y. Suliman, M. E. Farrag and S. Bashi, “Design of Fast Real Time Controller for the SSSC Based on Takagi-
Sugeno (TS) Adaptive Neuro-Fuzzy Control System,” International Conference on Renewable Energies and
Power Quality (ICREPQ’14), vol. 1, no. 12, pp 1025-1030, 2014.
[20] M. Y. Suliman, “Voltage profile enhancement in distribution network using static synchronous compensator
STATCOM,” International Journal of Electrical and Computer Engineering (IJECE), vol. 10, no. 4,
pp. 3367-3374, 2020.

1765
[21] M. Y. Suliman and S. S. Al-Juboori, “Design of Fast Real Time Controller for the Dynamic Voltage Restorer
Based on Instantaneous Power Theory,” International Journal of Energy and Power Engineering, vol 5, no 2,
pp. 1-6, 2016.
[22] S. R. Khuntia, "Simulation study of a SSSC-based neuro-fuzzy controller for improvement of transient stability in a
three-machine power system," 2012 IEEE Energytech, Cleveland, OH, pp. 1-6, 2012.
[23] M. Amirian, "Mitigating Sub-Synchronous Resonance Using Static Var Compensator (SVC) Enhanced with
Adaptive Neuro-Fuzzy Inference Systems (ANFIS) Controller," 2019 27th Iranian Conference on Electrical
Engineering (ICEE), Yazd, Iran, pp. 532-538, 2019.
[24] M. Y. Suliman, “Active and reactive power flow management in parallel transmission lines using static series
compensation (SSC) with energy storage,” International Journal of Electrical and Computer Engineering (IJECE),
vol. 9, no. 6, pp. 4598-4609, 2019.
[25] F. Taki, S. Abazari and G. R. Arab Markadeh, "Transient stability improvement using ANFIS controlled UPFC
based on energy function," 2010 18th Iranian Conference on Electrical Engineering, Isfahan, pp. 944-948, 2010.
BIOGRAPHIES OF AUTHORS
Mohammed Y. Suliman received his BSc, M.Sc. and Ph. D. degrees from University of Mosul,
Iraq in 1995, 1998 and 2014 respectively. Currently, he is a assistance professor, in the
Technical College, Northern Technical University.His research interests, include power system
assessment, power electronics, FACTS, Renewable energy.
Mahmood T. Al-Khayyat received his BSc, M.Sc. and Ph. D. degrees from University of
Mosul, Iraq in 1994, 1998 and 2018 respectively. Currently, he is a lecturer, in the Technical
College, Northern Technical University.His research interests, include power quality, power
system optimization, FACTS, Renewable energy.

Power flow control in parallel transmission lines based on UPFC

More Related Content

What's hot (20)

Similar to Power flow control in parallel transmission lines based on UPFC (20)

More from journalBEEI (20)

Recently uploaded (20)

Power flow control in parallel transmission lines based on UPFC