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IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE)
e-ISSN: 2278-1676,p-ISSN: 2320-3331, Volume 8, Issue 3 (Nov. - Dec. 2013), PP 54-57
www.iosrjournals.org
www.iosrjournals.org 54 | Page
Allocation of SVCs & IPFCs in an Electrical Power System using
DE
M. V. Ramesh, Dr. V. C. Veera Reddy
M.Tech Associate Professor, Priyadarashini college of Engg & technology, Nellore, AP, India
PhD Professor & Head of the Dept, EEE 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 Differential Evaluation (DE) 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, DE, 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.
Problem Formulation: The power flow through any transmission line can be obtained by using the equation
 
 
sin
cos
i j ij
ij
ij
i i j ij
ij
ij
VV
P
X
V V V
Q
X





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.
Allocation of SVCs & IPFCs in an Electrical Power System using DE
www.iosrjournals.org 55 | Page
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.
Fig: Schematic diagram of two converter IPFC
Algorithm: The step by step procedure for the proposed optimal placement of SVC and IPFC devices using
differential evaluation optimization is given below:
Step 1: The number of devices to be placed is declared. The load flow is performed.
Step 2: A set of populations are initialize randomly which satisfies the constraints of SVC & IPFC.
Step 3: Evaluate the fitness for each population and recorded member.
Step 4: Mutation the population.
Step 5: Crossover between initial & mutation population.
Step 6: Evaluate fitness of mutant vectors and compare it to initial population and record the best member.
Step 7: repeat step 2 to 5 until stopping criterion is met.
Step 8: Stop and print the results.
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
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.
Case 1: Optimal location of SVCs:
Loading
condition
Real power
Losses without
SVC (MW)
Loc. of
SVC
Rating of
SVC
(MVAR)
Real power Losses
with SVC
(MW)
Normal loading 13.393 5
14
6.6720
5.2468
13.314
125%
loading
22.636 5
14
13.370
5.595
22.094
150% loading 35.011 5
14
30.2925
10.7572
33.866
175% loading 51.295 5
14
66.411
12.379
49.074
Contingency
(12-13)
13.401 5
14
15.5691
0.0020
13.340
Allocation of SVCs & IPFCs in an Electrical Power System using DE
www.iosrjournals.org 56 | Page
Case 2: Optimal location of SVCs & IPFCs:
Loadi-ng
condition
Real power
Losses
(MW)
Loc. of
SVC
Rating of
SVC
Loc. of
IPFC
Rating of
IPFC
(MVAR)
Real power
losses with
SVC &
IPFC
(MW)
Normal
loading
13.393 5
14
0.9290
3.4588
2-4 &
2-5
7.6385 13.118
125%
loading
22.636 5
14
18.352
9.5131
2-4 &
2-5
21.345 21.783
150%
loading
35.011 5
14
19.2066.97
45
2-4 &
2-5
21.472 33.876
175%
loading
51.295 5
14
38.349
11.678
2-4 &
2-5
15.831 49.349
Conting-
ency
(12-13)
13.401
(12-13)
5
14
2.8565
5.7719
2-4 &
2-5
9.3076 13.096
Voltages profile in normal conditions:
Bus no Before
compensation
Voltage (p.u)
Case 1 Case 2
Voltage (p.u) Voltage (p.u)
1 1.0600 1.0600 1.0600
2 1.0450 1.0450 1.0450
3 1.0100 1.0100 1.0100
4 1.0183 1.0207 1.0192
5 1.0200 1.0239 1.0213
6 1.0700 1.0700 1.0700
7 1.0608 1.0621 1.0621
8 1.0900 1.0900 1.0900
9 1.0541 1.0555 1.0563
10 1.0495 1.0506 1.0513
11 1.0561 1.0567 1.0570
12 1.0550 1.0553 1.0558
13 1.0501 1.0505 1.0516
14 1.0343 1.0361 1.0407
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.
III. 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 DE.
In this paper, we have proposed a DE 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.
1 2 3 4 5 6 7 8 9 10 11 12 13 14
0
0.2
0.4
0.6
0.8
1
1.2
1.4
Bus
Voltage(p.u)
before compensation
after compensation
min p.u voltage
Allocation of SVCs & IPFCs in an Electrical Power System using DE
www.iosrjournals.org 57 | Page
References
[1] 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.
[2]. M.V.Ramesh, Dr. V.C. Veera Reddy “ Optimal Allocationof FACTS Devices in Different Over Load Conditions” International
Journal of Electrical Engineering & Technology, volume 4, issue 1, Jan-Feb 2013, pp-208-222.
[3] 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.
[4] 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.
[5] 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.
[6] 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.
[7] 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
[8] 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. 550-554, May 2007.
[9]. A.V.Naresh Babu, S.Sivanagaraju, Ch.Padmanabharaju and T.Ramana “Multi-Line Power Flow Control using Interline Power Flow
Controller (IPFC) in Power” Transmission Systems International Journal of Electrical and Electronics Engineering 4:7 2010

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Allocation of SVCs & IPFCs in an Electrical Power System using DE

  • 1. IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE) e-ISSN: 2278-1676,p-ISSN: 2320-3331, Volume 8, Issue 3 (Nov. - Dec. 2013), PP 54-57 www.iosrjournals.org www.iosrjournals.org 54 | Page Allocation of SVCs & IPFCs in an Electrical Power System using DE M. V. Ramesh, Dr. V. C. Veera Reddy M.Tech Associate Professor, Priyadarashini college of Engg & technology, Nellore, AP, India PhD Professor & Head of the Dept, EEE 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 Differential Evaluation (DE) 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, DE, 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. Problem Formulation: The power flow through any transmission line can be obtained by using the equation     sin cos i j ij ij ij i i j ij ij ij VV P X V V V Q X      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.
  • 2. Allocation of SVCs & IPFCs in an Electrical Power System using DE www.iosrjournals.org 55 | Page 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. Fig: Schematic diagram of two converter IPFC Algorithm: The step by step procedure for the proposed optimal placement of SVC and IPFC devices using differential evaluation optimization is given below: Step 1: The number of devices to be placed is declared. The load flow is performed. Step 2: A set of populations are initialize randomly which satisfies the constraints of SVC & IPFC. Step 3: Evaluate the fitness for each population and recorded member. Step 4: Mutation the population. Step 5: Crossover between initial & mutation population. Step 6: Evaluate fitness of mutant vectors and compare it to initial population and record the best member. Step 7: repeat step 2 to 5 until stopping criterion is met. Step 8: Stop and print the results. 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 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. Case 1: Optimal location of SVCs: Loading condition Real power Losses without SVC (MW) Loc. of SVC Rating of SVC (MVAR) Real power Losses with SVC (MW) Normal loading 13.393 5 14 6.6720 5.2468 13.314 125% loading 22.636 5 14 13.370 5.595 22.094 150% loading 35.011 5 14 30.2925 10.7572 33.866 175% loading 51.295 5 14 66.411 12.379 49.074 Contingency (12-13) 13.401 5 14 15.5691 0.0020 13.340
  • 3. Allocation of SVCs & IPFCs in an Electrical Power System using DE www.iosrjournals.org 56 | Page Case 2: Optimal location of SVCs & IPFCs: Loadi-ng condition Real power Losses (MW) Loc. of SVC Rating of SVC Loc. of IPFC Rating of IPFC (MVAR) Real power losses with SVC & IPFC (MW) Normal loading 13.393 5 14 0.9290 3.4588 2-4 & 2-5 7.6385 13.118 125% loading 22.636 5 14 18.352 9.5131 2-4 & 2-5 21.345 21.783 150% loading 35.011 5 14 19.2066.97 45 2-4 & 2-5 21.472 33.876 175% loading 51.295 5 14 38.349 11.678 2-4 & 2-5 15.831 49.349 Conting- ency (12-13) 13.401 (12-13) 5 14 2.8565 5.7719 2-4 & 2-5 9.3076 13.096 Voltages profile in normal conditions: Bus no Before compensation Voltage (p.u) Case 1 Case 2 Voltage (p.u) Voltage (p.u) 1 1.0600 1.0600 1.0600 2 1.0450 1.0450 1.0450 3 1.0100 1.0100 1.0100 4 1.0183 1.0207 1.0192 5 1.0200 1.0239 1.0213 6 1.0700 1.0700 1.0700 7 1.0608 1.0621 1.0621 8 1.0900 1.0900 1.0900 9 1.0541 1.0555 1.0563 10 1.0495 1.0506 1.0513 11 1.0561 1.0567 1.0570 12 1.0550 1.0553 1.0558 13 1.0501 1.0505 1.0516 14 1.0343 1.0361 1.0407 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. III. 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 DE. In this paper, we have proposed a DE 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. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 0 0.2 0.4 0.6 0.8 1 1.2 1.4 Bus Voltage(p.u) before compensation after compensation min p.u voltage
  • 4. Allocation of SVCs & IPFCs in an Electrical Power System using DE www.iosrjournals.org 57 | Page References [1] 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. [2]. M.V.Ramesh, Dr. V.C. Veera Reddy “ Optimal Allocationof FACTS Devices in Different Over Load Conditions” International Journal of Electrical Engineering & Technology, volume 4, issue 1, Jan-Feb 2013, pp-208-222. [3] 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. [4] 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. [5] 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. [6] 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. [7] 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 [8] 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. 550-554, May 2007. [9]. A.V.Naresh Babu, S.Sivanagaraju, Ch.Padmanabharaju and T.Ramana “Multi-Line Power Flow Control using Interline Power Flow Controller (IPFC) in Power” Transmission Systems International Journal of Electrical and Electronics Engineering 4:7 2010