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M.V.Ramesh et al Int. Journal of Engineering Research and Applications
ISSN : 2248-9622, Vol. 3, Issue 6, Nov-Dec 2013, pp.1163-1165

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RESEARCH ARTICLE

OPEN ACCESS

Allocation of Svcs & Ipfcs in an Electrical Power System Using
PSO
M.V.Ramesh, Dr. V.C. Veera Reddy
M.Tech Associate Professor,Dept, EEE Priyadarashini college of Engg & technology,Nellore, AP, India
PhD Professor & Head of the S.V.University,Tirupathi, AP, India

Abstract
The proposed method is used to place SVCs & IPFCs optimally in an electrical power system to reduce active
power losses and as well as to improve voltage profile in different load and contingency conditions using Partial
Swarm Optimization Technique. The simulations are performed on an IEEE 14-bus system and results are
presented.
Keywords: SVC, IPFC, Different load, Contingency, Power loss, Voltage profile, PSO, IEEE 14 bus.

I.

Introduction

The main objective of an electrical engineer
is to generate, transmit, and distribute power at rated
voltage and rated frequency. In generally, the load is
uncertain. Hence, voltage and power are violating the
limits. This can be overcome by using different type
of techniques such as generator voltages, transformer
taps, fixed capacitor and reactive power distribution.
In this paper, reactive power distribution is provided
using different types of power electronic based
FACTS devices.
In previews, the research engineers are found
an optimal location of FACTS devices like SVC,
TCSC, and UPFC at different load conditions [1,3, 4].
In this paper, a new research method is
implemented on an optimal location of SVC and
IPFC in normal and as well as contingency
conditions.
In normal operating conditions, the power
system losses are the minimum and voltages are
prescribed limits. The power system may be collapse
due to the following reasons such as outage of a
generating unit or of a line, sudden increasing or
decreasing of the power demand. Most of the times,
the system may remains as it original state i.e. within
the limitations of voltage & power. But sometimes, it
does not become to its original state i.e. its limits are
violating. This phenomenon is called contingency.
In recent decades, different types of
biological optimization techniques like GA, PSO, AC,
EP etc are implemented. In this research, PSO
technique is used to optimal location of devices. The
simulations are performed on a modified IEEE 14 bus
system and results are presented at different
contingency conditions.

Pij 
Qij 

VV sin  
i

j

ij

X ij
Vi Vi  V j cos ij 
X ij

Where
Pij is the active power flow through the transmission
line from i to j
Qij is the reactive power flow through the
transmission line from i to j
Vi & Vj are the bus voltage magnitudes
Xij is the reactance of the transmission line
Өij is the phase angle between i and j buses.
The power flow through the transmission line can
be controlled by changing any one of the above
mentioned parameters using different types of
FACTS devices. In this paper two types of FACTS
devices are used one is SVC, and other is IPFC.
Mathematical models of FACTS devices: The main
aim of this objective is to perform a best utilization of
the existing transmission lines in normal and
contingency conditions by an optimal location of
FACTS devices in a network.
Static VAR Compensator: The Static VAR
compensator is a shunt type of FACTS devices, which
absorbs or injects reactive power at which it is
connected. The size of the SVC is depends on the
rating of current and reactive power injected into the
bus.

Problem Formulation: The power flow through any
transmission line can be obtained by using the
equation

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1163 | P a g e
M.V.Ramesh et al Int. Journal of Engineering Research and Applications
ISSN : 2248-9622, Vol. 3, Issue 6, Nov-Dec 2013, pp.1163-1165

www.ijera.com

The type of the device, the location and rating of the
devices are found in normal, different load and
contingency conditions. The results are presented in
two cases.

Fig: Circuit Diagram of Static VAR Compensator

II.

INTERLINE POWER FLOW
CONTROLLER

The IPFC is a series-series type of FACTS
device, which is used to exchange reactive powers in
between two or more transmission lines those are
connected to the same bus.

Case 1: Optimal location of SVCs:
Loading
Real
Loc.
condition
power
of
Losses
SVC
without
SVC
(MW)
Normal
13.393
5
loading
14

III.

A CASE STUDY

The PSO based optimal location of SVC &
IPFC devices was implemented at contingency
conditions using MATLAB 7.5. Here the modified
IEEE 14-bus system was tested.
. The following parameters are used for PSO based
optimal location of FACTS devices.
 Population =50
 Maximum iterations=50
 Wmax=0.9 and Wmin=0.4
 Acceleration constants C1=1.4 and
C2=1.4

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5
14

35.011

5
14

175%
loading

Algorithm: The step by step procedure for the
proposed optimal placement of SVC and IPFC
devices using PSO is given below:
Step 1: The number of devices to be placed is
declared. The load flow is performed.
Step 2: The initial population of individuals is created
satisfying the SVC & IPFC constraints.
Step 3: For each individual in the population, the
fitness function is evaluated after running the load
flow.
Step 4: The velocity is updated and new population is
created.
Step 5: If maximum iteration number is reached, then
go to next step else go to step 3.
Step 6: Print the best results.
Step 7: stop.

22.636

150%
loading

Fig: Schematic diagram of two converter IPFC

125%
loading

51.295

5
14

Contingenc
y
(12-13)

13.401

5
14

Ratin
g of
SVC
(MV
AR)
5.560
7
5.623
7
15.52
5
9.073
8
32.79
9
8.412
4
56.44
6
8.227
3
5.578
7
6.232
8

Real
power
Losses
with
SVC
(MW)
13.316

22.061

33.894

49.217

13.321

Case 2: Optimal location of SVCs & IPFCs:
Loadi Real
Loc Ratin Loc. Ratin
-ng
power . of g of of
g of
condit Losse SV SVC
IPF
IPFC
ion
s
C
C
(MV
(MW)
AR)

Norm
al
loadin
g
125%
loadin
g
150%
loadin
g
175%
loadin
g
Conti
ngency
(1213)

13.39
3

5
14

22.63
6

5
14

4.641
4
3.037
9
13.88
11.39

35.01
1

5
14

33.60
11.71

51.29
5

5
14

28.97
15.20

13.40
1
(1213)

5
14

0.856
3.823

2-4
&
2-5

10.88
6

Real
power
losses
with
SVC
&
IPFC
(MW)
13.09
6

2-4
&
2-5
2-4
&
2-5
2-4
&
2-5
2-4
&
2-5

17.63
2

21.68
5

18.25
1

33.50
6

17.69
0

49.60
6

11.85
2

13.10
8

1164 | P a g e
M.V.Ramesh et al Int. Journal of Engineering Research and Applications
ISSN : 2248-9622, Vol. 3, Issue 6, Nov-Dec 2013, pp.1163-1165
Voltages profile in normal conditions:
Bus no
Before
Case 1
compensation Voltage
Voltage (p.u) (p.u)
1
1.0600
1.0600
2
1.0450
1.0450
3
1.0100
1.0100
4
1.0183
1.0202
5
1.0200
1.0227
6
1.0700
1.0700
7
1.0608
1.0633
8
1.0900
1.0900
9
1.0541
1.0583
10
1.0495
1.0530
11
1.0561
1.0579
12
1.0550
1.0565
13
1.0501
1.0528
14
1.0343
1.0462

Case 2
Voltage
(p.u)
1.0600
1.0450
1.0100
1.0192
1.0213
1.0700
1.0621
1.0900
1.0563
1.0513
1.0570
1.0558
1.0516
1.0407

[3]

[4]

[5]

1.4
before compensation
after compensation
min p.u volateg

1.2

1

Voltage(p.u)

[6]
0.8

0.6

0.4

0.2

[7]
0

1

2

3

4

5

6

7
8
Bus

9

10

11

12

13

14

By comparing the above cases, the total
power losses of the system are reduced and voltage
profiles are improved by the optimal location of
FACTS devices.
IV.
Conclusion
In this paper, the optimal location of IPFC
and SVC are studied at normal, different overload,
contingency conditions and various parameters such
as voltage profile and real and reactive power flow in
transmission lines are investigated using PSO.
In this paper, we have proposed a PSO
algorithm to place a combination of both SVC and
IPFC devices. The future scope of this paper is a
complete cost benefit analysis has to be carried out to
justify the economic viability of the SVC and IPFC
using different combination of optimization
techniques.

References
[1]

[2].

S.Gerbex, R.cherkaoui, and A.J.Germond,
“Optimal Allocation of FACTS Devices by
Using Multi-Objective Optimal Power Flow
and Genetic Algorithms”. IEEE trans.power
system, vol.16, pp.537-544, August 2001.
M.V.Ramesh, Dr. V.C. Veera Reddy “
Optimal Allocationof FACTS Devices in

www.ijera.com

[8]

[9].

www.ijera.com

Different
Over
Load
Conditions”
International
Journal
of
Electrical
Engineering & Technology, volume 4, issue
1, Jan-Feb 2013, pp-208-222.
L.J.Cai, I.Erlich, G.Stamtsis “Optimal
Choice and Allocation of FACTS Devices in
Deregulated Electricity Market using
Genetic Algorithms” IEEE transactions on
2004.
H.R.Bahaee,
M.Jannati,
B.Vahidi,
S.H.Hosseinnian, H.Rastager: Improvement
of voltage stability and reduce power system
losses by optimal GA-base allocation of
Multi-Type FACTS devices. The 11th
international IEEE conference on May
2008,OPTIM 2008.
K.Sundareswaran,
P.Bharathram,
M.siddharth, Vaishavi.G, Nitin Anand
Srivastava, Harish Sharma: Voltage Profile
enhancement through optimal placement of
FACTS devices using Queen Bee Assisted
GA. The 3rd international conference on
power systems, Kharagapur, December
2009.
S Teerathana, A. Yokoyama, “An Optimal
Power Flow Control Method of Power
System using Interline Power Flow
Controller (IPFC)”, IEEE Transactions on
Power Delivery, Vol. 23,pp. 343-346, Aug.
2004.
P. Subburaj, N. Sudha, K. Rajeswari, K.
Ramar,and L. Ganesan, “Optimum Reactive
Power Dispatch Using Genetic Algorithm,”
Academic Open Internet Journal, Vol.21,
2007, p6
B.Geethalakshmi, T. Hajmunisa and P.
Dhananjayan, “Dynamic characteristics
analysis of SSSC based on 48 pulse
inverter”, The 8th International Power
Engineering Conference (IPEC) pp. 550554, May 2007.
A.V.Naresh
Babu,
S.Sivanagaraju,
Ch.Padmanabharaju and T.Ramana “MultiLine Power Flow Control using Interline
Power Flow Controller (IPFC) in Power”
Transmission Systems International Journal
of Electrical and Electronics Engineering 4:7
2010

Authors:
M.V.Ramesh: B.Tech(EEE) from S.V.H.College of
Engineering, Machilipatnam in 2000. M.Tech in
Power Electronics from J.N.T.
University, Hyderabad (Autonomous) in 2005.
Pursuing PhD in J.N.T. University, Hyderabad.
Dr. V.C.Veera Reddy: B.Tech(EEE) from J.N.T.
University in 1979. M.Tech in power systems &
operation control from S.V. University in 1981.
Completed PhD from S.V. University in 1999.
1165 | P a g e

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Gl3611631165

  • 1. M.V.Ramesh et al Int. Journal of Engineering Research and Applications ISSN : 2248-9622, Vol. 3, Issue 6, Nov-Dec 2013, pp.1163-1165 www.ijera.com RESEARCH ARTICLE OPEN ACCESS Allocation of Svcs & Ipfcs in an Electrical Power System Using PSO M.V.Ramesh, Dr. V.C. Veera Reddy M.Tech Associate Professor,Dept, EEE Priyadarashini college of Engg & technology,Nellore, AP, India PhD Professor & Head of the S.V.University,Tirupathi, AP, India Abstract The proposed method is used to place SVCs & IPFCs optimally in an electrical power system to reduce active power losses and as well as to improve voltage profile in different load and contingency conditions using Partial Swarm Optimization Technique. The simulations are performed on an IEEE 14-bus system and results are presented. Keywords: SVC, IPFC, Different load, Contingency, Power loss, Voltage profile, PSO, IEEE 14 bus. I. Introduction The main objective of an electrical engineer is to generate, transmit, and distribute power at rated voltage and rated frequency. In generally, the load is uncertain. Hence, voltage and power are violating the limits. This can be overcome by using different type of techniques such as generator voltages, transformer taps, fixed capacitor and reactive power distribution. In this paper, reactive power distribution is provided using different types of power electronic based FACTS devices. In previews, the research engineers are found an optimal location of FACTS devices like SVC, TCSC, and UPFC at different load conditions [1,3, 4]. In this paper, a new research method is implemented on an optimal location of SVC and IPFC in normal and as well as contingency conditions. In normal operating conditions, the power system losses are the minimum and voltages are prescribed limits. The power system may be collapse due to the following reasons such as outage of a generating unit or of a line, sudden increasing or decreasing of the power demand. Most of the times, the system may remains as it original state i.e. within the limitations of voltage & power. But sometimes, it does not become to its original state i.e. its limits are violating. This phenomenon is called contingency. In recent decades, different types of biological optimization techniques like GA, PSO, AC, EP etc are implemented. In this research, PSO technique is used to optimal location of devices. The simulations are performed on a modified IEEE 14 bus system and results are presented at different contingency conditions. Pij  Qij  VV sin   i j ij X ij Vi Vi  V j cos ij  X ij Where Pij is the active power flow through the transmission line from i to j Qij is the reactive power flow through the transmission line from i to j Vi & Vj are the bus voltage magnitudes Xij is the reactance of the transmission line Өij is the phase angle between i and j buses. The power flow through the transmission line can be controlled by changing any one of the above mentioned parameters using different types of FACTS devices. In this paper two types of FACTS devices are used one is SVC, and other is IPFC. Mathematical models of FACTS devices: The main aim of this objective is to perform a best utilization of the existing transmission lines in normal and contingency conditions by an optimal location of FACTS devices in a network. Static VAR Compensator: The Static VAR compensator is a shunt type of FACTS devices, which absorbs or injects reactive power at which it is connected. The size of the SVC is depends on the rating of current and reactive power injected into the bus. Problem Formulation: The power flow through any transmission line can be obtained by using the equation www.ijera.com 1163 | P a g e
  • 2. M.V.Ramesh et al Int. Journal of Engineering Research and Applications ISSN : 2248-9622, Vol. 3, Issue 6, Nov-Dec 2013, pp.1163-1165 www.ijera.com The type of the device, the location and rating of the devices are found in normal, different load and contingency conditions. The results are presented in two cases. Fig: Circuit Diagram of Static VAR Compensator II. INTERLINE POWER FLOW CONTROLLER The IPFC is a series-series type of FACTS device, which is used to exchange reactive powers in between two or more transmission lines those are connected to the same bus. Case 1: Optimal location of SVCs: Loading Real Loc. condition power of Losses SVC without SVC (MW) Normal 13.393 5 loading 14 III. A CASE STUDY The PSO based optimal location of SVC & IPFC devices was implemented at contingency conditions using MATLAB 7.5. Here the modified IEEE 14-bus system was tested. . The following parameters are used for PSO based optimal location of FACTS devices.  Population =50  Maximum iterations=50  Wmax=0.9 and Wmin=0.4  Acceleration constants C1=1.4 and C2=1.4 www.ijera.com 5 14 35.011 5 14 175% loading Algorithm: The step by step procedure for the proposed optimal placement of SVC and IPFC devices using PSO is given below: Step 1: The number of devices to be placed is declared. The load flow is performed. Step 2: The initial population of individuals is created satisfying the SVC & IPFC constraints. Step 3: For each individual in the population, the fitness function is evaluated after running the load flow. Step 4: The velocity is updated and new population is created. Step 5: If maximum iteration number is reached, then go to next step else go to step 3. Step 6: Print the best results. Step 7: stop. 22.636 150% loading Fig: Schematic diagram of two converter IPFC 125% loading 51.295 5 14 Contingenc y (12-13) 13.401 5 14 Ratin g of SVC (MV AR) 5.560 7 5.623 7 15.52 5 9.073 8 32.79 9 8.412 4 56.44 6 8.227 3 5.578 7 6.232 8 Real power Losses with SVC (MW) 13.316 22.061 33.894 49.217 13.321 Case 2: Optimal location of SVCs & IPFCs: Loadi Real Loc Ratin Loc. Ratin -ng power . of g of of g of condit Losse SV SVC IPF IPFC ion s C C (MV (MW) AR) Norm al loadin g 125% loadin g 150% loadin g 175% loadin g Conti ngency (1213) 13.39 3 5 14 22.63 6 5 14 4.641 4 3.037 9 13.88 11.39 35.01 1 5 14 33.60 11.71 51.29 5 5 14 28.97 15.20 13.40 1 (1213) 5 14 0.856 3.823 2-4 & 2-5 10.88 6 Real power losses with SVC & IPFC (MW) 13.09 6 2-4 & 2-5 2-4 & 2-5 2-4 & 2-5 2-4 & 2-5 17.63 2 21.68 5 18.25 1 33.50 6 17.69 0 49.60 6 11.85 2 13.10 8 1164 | P a g e
  • 3. M.V.Ramesh et al Int. Journal of Engineering Research and Applications ISSN : 2248-9622, Vol. 3, Issue 6, Nov-Dec 2013, pp.1163-1165 Voltages profile in normal conditions: Bus no Before Case 1 compensation Voltage Voltage (p.u) (p.u) 1 1.0600 1.0600 2 1.0450 1.0450 3 1.0100 1.0100 4 1.0183 1.0202 5 1.0200 1.0227 6 1.0700 1.0700 7 1.0608 1.0633 8 1.0900 1.0900 9 1.0541 1.0583 10 1.0495 1.0530 11 1.0561 1.0579 12 1.0550 1.0565 13 1.0501 1.0528 14 1.0343 1.0462 Case 2 Voltage (p.u) 1.0600 1.0450 1.0100 1.0192 1.0213 1.0700 1.0621 1.0900 1.0563 1.0513 1.0570 1.0558 1.0516 1.0407 [3] [4] [5] 1.4 before compensation after compensation min p.u volateg 1.2 1 Voltage(p.u) [6] 0.8 0.6 0.4 0.2 [7] 0 1 2 3 4 5 6 7 8 Bus 9 10 11 12 13 14 By comparing the above cases, the total power losses of the system are reduced and voltage profiles are improved by the optimal location of FACTS devices. IV. Conclusion In this paper, the optimal location of IPFC and SVC are studied at normal, different overload, contingency conditions and various parameters such as voltage profile and real and reactive power flow in transmission lines are investigated using PSO. In this paper, we have proposed a PSO algorithm to place a combination of both SVC and IPFC devices. The future scope of this paper is a complete cost benefit analysis has to be carried out to justify the economic viability of the SVC and IPFC using different combination of optimization techniques. References [1] [2]. S.Gerbex, R.cherkaoui, and A.J.Germond, “Optimal Allocation of FACTS Devices by Using Multi-Objective Optimal Power Flow and Genetic Algorithms”. IEEE trans.power system, vol.16, pp.537-544, August 2001. M.V.Ramesh, Dr. V.C. Veera Reddy “ Optimal Allocationof FACTS Devices in www.ijera.com [8] [9]. www.ijera.com Different Over Load Conditions” International Journal of Electrical Engineering & Technology, volume 4, issue 1, Jan-Feb 2013, pp-208-222. L.J.Cai, I.Erlich, G.Stamtsis “Optimal Choice and Allocation of FACTS Devices in Deregulated Electricity Market using Genetic Algorithms” IEEE transactions on 2004. H.R.Bahaee, M.Jannati, B.Vahidi, S.H.Hosseinnian, H.Rastager: Improvement of voltage stability and reduce power system losses by optimal GA-base allocation of Multi-Type FACTS devices. The 11th international IEEE conference on May 2008,OPTIM 2008. K.Sundareswaran, P.Bharathram, M.siddharth, Vaishavi.G, Nitin Anand Srivastava, Harish Sharma: Voltage Profile enhancement through optimal placement of FACTS devices using Queen Bee Assisted GA. The 3rd international conference on power systems, Kharagapur, December 2009. S Teerathana, A. Yokoyama, “An Optimal Power Flow Control Method of Power System using Interline Power Flow Controller (IPFC)”, IEEE Transactions on Power Delivery, Vol. 23,pp. 343-346, Aug. 2004. P. Subburaj, N. Sudha, K. Rajeswari, K. Ramar,and L. Ganesan, “Optimum Reactive Power Dispatch Using Genetic Algorithm,” Academic Open Internet Journal, Vol.21, 2007, p6 B.Geethalakshmi, T. Hajmunisa and P. Dhananjayan, “Dynamic characteristics analysis of SSSC based on 48 pulse inverter”, The 8th International Power Engineering Conference (IPEC) pp. 550554, May 2007. A.V.Naresh Babu, S.Sivanagaraju, Ch.Padmanabharaju and T.Ramana “MultiLine Power Flow Control using Interline Power Flow Controller (IPFC) in Power” Transmission Systems International Journal of Electrical and Electronics Engineering 4:7 2010 Authors: M.V.Ramesh: B.Tech(EEE) from S.V.H.College of Engineering, Machilipatnam in 2000. M.Tech in Power Electronics from J.N.T. University, Hyderabad (Autonomous) in 2005. Pursuing PhD in J.N.T. University, Hyderabad. Dr. V.C.Veera Reddy: B.Tech(EEE) from J.N.T. University in 1979. M.Tech in power systems & operation control from S.V. University in 1981. Completed PhD from S.V. University in 1999. 1165 | P a g e