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Frontiers of Electrical and Electronic Engineering

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ISSN 2095-2740(Online)

CN 10-1028/TM

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Front Elect Electr Eng    2012, Vol. 7 Issue (4) : 447-458    https://doi.org/10.1007/s11460-012-0216-9
RESEARCH ARTICLE
Optimal location of interline power flow controller for controlling multi transmission line: A new integrated technique
B. KARTHIK1(), I. ALAGARASAN2, S. CHANDRASEKAR1
1. Department of Electrical and Electronics Engineering, Sona College of Technology, Salem, India; 2. Department of Electrical and Electronics Engineering, Kavery Engineering College, Salem, India
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Abstract

In this paper, an interline power flow controller (IPFC) is used for controlling multi transmission lines. However, the optimal placement of IPFC in the transmission line is a major problem. Thus, we use a combination of tabu search (TS) algorithm and artificial neural network (ANN) in the proposed method to find out the best placement locations for IPFC in a given multi transmission line system. TS algorithm is an optimization algorithm and we use it in the proposed method to determine the optimum bus combination using line data. Then, using the optimum bus combination, the neural network is trained to find out the best placement locations for IPFC. Finally, IPFC is connected at the best locations indicated by the neural network. Furthermore, using Newton-Raphson load flow algorithm, the transmission line loss of the IPFC connected bus is analyzed. The proposed methodology is implemented in MATLAB working platform and tested on the IEEE-14 bus system. The output is compared with the genetic algorithm (GA) and general load flow analysis. The results are validated with Levenberg-Marquardt back propagation and gradient descent with momentum network training algorithm.
Keywords IEEE-14 bus system      interline power flow controller (IPFC)      tabu search (TS) algorithm      artificial neural network (ANN)      training algorithm      load flow     
Corresponding Author(s): KARTHIK B.,Email:bkarthikphd@gmail.com   
Issue Date: 05 December 2012
 Cite this article:   
B. KARTHIK,I. ALAGARASAN,S. CHANDRASEKAR. Optimal location of interline power flow controller for controlling multi transmission line: A new integrated technique[J]. Front Elect Electr Eng, 2012, 7(4): 447-458.
 URL:  
https://academic.hep.com.cn/fee/EN/10.1007/s11460-012-0216-9
https://academic.hep.com.cn/fee/EN/Y2012/V7/I4/447
Fig.1  Schematic diagram of IPFC
Fig.1  Schematic diagram of IPFC
Fig.1  Schematic diagram of IPFC
Fig.1  Schematic diagram of IPFC
Fig.1  Schematic diagram of IPFC
Fig.2  Power flow model of IPFC
Fig.2  Power flow model of IPFC
Fig.2  Power flow model of IPFC
Fig.2  Power flow model of IPFC
Fig.2  Power flow model of IPFC
Fig.3  Proposed TS algorithm for obtaining proper place for fixing the IPFC
Fig.3  Proposed TS algorithm for obtaining proper place for fixing the IPFC
Fig.3  Proposed TS algorithm for obtaining proper place for fixing the IPFC
Fig.3  Proposed TS algorithm for obtaining proper place for fixing the IPFC
Fig.3  Proposed TS algorithm for obtaining proper place for fixing the IPFC
Fig.4  Structure of neural network utilized in identification of IPFC connecting buses
Fig.4  Structure of neural network utilized in identification of IPFC connecting buses
Fig.4  Structure of neural network utilized in identification of IPFC connecting buses
Fig.4  Structure of neural network utilized in identification of IPFC connecting buses
Fig.4  Structure of neural network utilized in identification of IPFC connecting buses
Fig.5  Structure of network utilized in identifying real power, voltage, and angle
Fig.5  Structure of network utilized in identifying real power, voltage, and angle
Fig.5  Structure of network utilized in identifying real power, voltage, and angle
Fig.5  Structure of network utilized in identifying real power, voltage, and angle
Fig.5  Structure of network utilized in identifying real power, voltage, and angle
Fig.6  IEEE-14 bus system
Fig.6  IEEE-14 bus system
Fig.6  IEEE-14 bus system
Fig.6  IEEE-14 bus system
Fig.6  IEEE-14 bus system
NR load flow analysis
Bus No.voltage/p.u.angle/(° )injectiongenerationload
/MW/Mvar/MW/Mvar/MW/Mvar
11.060228.392-14.654228.392-14.65400
21.045-4.897118.334.1444046.84421.712.7
31.01-12.5708-93.6748.317027.53293.67419.215
41.0136-10.0511-47.5183.9890047.518-3.989
51.017-8.5885-7.484-1.744007.4841.744
61.07-14.1115-10.91115.932023.55210.9117.62
71.0455-12.92910.266-0.31400-0.2660.314
81.08-12.91830.1221.137021.286-0.120.149
91.0302-14.4744-29.218-16.5110029.21816.511
101.0295-14.6443-8.185-6.338008.1856.338
111.0458-14.4673-3.097-2.067003.0972.067
121.0532-14.9117-5.697-1.867005.6971.867
131.0466-14.967-13.217-5.9180013.2175.918
141.019-15.7183-14.9-50014.95
total13.17629.106268.392104.561255.21675.455
Tab.1  Bus data of IEEE-14 bus system obtained using proposed technique (IPFC connected in two lines)
Line flow and losses
from Busto BusP/MWQ/Mvarfrom Busto BusP/MWQ/Mvarline loss
/MW/Mvar
12154.297-16.83221-150.14229.5184.15512.687
1574.0957.90851-71.4253.1142.6711.022
2372.6186.01332-70.3333.6132.2859.625
2454.9322.92842-53.3211.9581.614.886
2540.8924.70552-40.009-2.0070.8842.698
34-23.3417.5914323.737-6.5810.3961.01
45-58.89311.325459.361-9.8460.4671.474
4726.017-15.16374-26.01716.96801.805
4914.943-2.53994-14.9433.74401.205
5644.589-20.79965-44.58926.29605.498
6117.9069.24116-7.783-8.9830.1230.257
6127.7573.339126-7.68-3.180.0770.159
61318.01510.202136-17.768-9.7140.2480.488
78-0.12-20.462870.1221.13700.675
7926.40314.93997-26.403-14.01300.926
9103.555-0.445109-3.5510.4550.0040.01
9148.5730.307149-8.485-0.1190.0880.187
1011-4.634-6.79311104.6866.9160.0520.123
12131.9831.3131312-1.972-1.3020.0110.01
13146.5225.0991413-6.415-4.8810.1070.218
total loss13.17654.963
Tab.2  Line data of IEEE-14 bus system obtained using proposed technique (IPFC connected in two lines)
NR load flow analysis
Bus No.voltage/p.u.angle/(o)injectiongenerationload
/MW/Mvar/MW/Mvar/MW/Mvar
11.060231.745-15.186231.745-15.18600
21.045-4.970518.334.7924047.49221.712.7
31.01-12.7168-94.28.576027.57694.219
41.0135-10.2043-47.83.90047.8-3.9
51.0168-8.7262-7.6-1.6007.61.6
61.07-14.3786-11.35514.767022.24111.3557.474
71.0464-13.15890.0890.10500-0.089-0.105
81.08-13.15380.05720.615020.624-0.0570.009
91.0317-14.7282-29.326-16.3960029.32616.396
101.0313-14.9405-8.763-5.604008.7635.604
111.0473-14.7724-3.229-1.389003.2291.389
121.0532-15.2314-6.211-1.686006.2111.686
131.0469-15.2649-13.621-5.8560013.6215.856
141.021-15.9824-14.603-4.540014.6034.54
total13.48230.497271.745102.747258.26372.250
Tab.3  Bus data of IEEE-14 bus system obtained using proposed technique (IPFC connected in three lines)
Line flow and losses
from Busto BusP/MWQ/Mvarfrom Busto BusP/MWQ/Mvarline loss
/MW/Mvar
12156.518-17.35321-152.2430.4124.27713.059
1575.2277.89751-72.4763.462.75111.357
2373.2725.94832-70.9463.8492.3259.797
2455.7192.80542-54.0622.221.6565.025
2541.554.64752-40.638-1.8630.9122.783
34-23.2547.6144323.647-6.610.3931.004
45-59.41511.7095459.892-10.2060.4771.503
4726.728-15.59974-26.72817.50601.907
4915.303-2.81294-15.3034.08201.27
5645.622-20.77565-45.62226.48405.709
6117.9028.438116-7.791-8.2060.1110.232
6128.0893.19126-8.008-3.0210.0810.169
61318.2779.801136-18.028-9.3120.2480.489
78-0.057-19.973870.05720.61500.642
7926.87414.3597-26.874-13.41700.933
9104.258-1.08109-4.2521.0950.0060.015
9148.5930.141149-8.5050.0470.0880.188
1011-4.511-6.69911104.5616.8160.050.118
12131.7971.3351312-1.787-1.3260.010.009
13146.1944.7811413-6.099-4.5870.0950.194
total loss13.48256.405
Tab.4  Line data of IEEE-14 bus system obtained using proposed technique (IPFC connected in three lines)
number of lines for IPFC connectedbus combination of IPFC connectedvoltage deviation/p.u.voltage angle deviation/(o )
24-5-0.0455-70.5347
4-70.2509-136.9757
36-110.050028.0284
6-120.049996.0557
6-130.200069.0349
Tab.5  Parameter of lines to be connected in IPFC
number of lines for IPFC connectedtotal loss/MW
TS-NNGA-NN [25]without IPFC
213.48213.52714.755
313.17613.293
Tab.6  Loss comparison of TS, GA [], and without IPFC
number of lines for IPFC connectedtotal loss/MW
TS-NN (Levenberg-Marquardt back propagation)TS-NN (gradient descent with momentum)
213.48213.3268
313.17613.1703
Tab.7  Loss comparison of Levenberg-Marquardt back propagation and gradient descent with momentum
Fig.7  (a) Performance, (b) regression, and (c) training for identification of voltage and angle
Fig.7  (a) Performance, (b) regression, and (c) training for identification of voltage and angle
Fig.7  (a) Performance, (b) regression, and (c) training for identification of voltage and angle
Fig.7  (a) Performance, (b) regression, and (c) training for identification of voltage and angle
Fig.7  (a) Performance, (b) regression, and (c) training for identification of voltage and angle
Fig.8  (a) Performance, (b) regression, and (c) training for identification of buses
Fig.8  (a) Performance, (b) regression, and (c) training for identification of buses
Fig.8  (a) Performance, (b) regression, and (c) training for identification of buses
Fig.8  (a) Performance, (b) regression, and (c) training for identification of buses
Fig.8  (a) Performance, (b) regression, and (c) training for identification of buses
Fig.9  Performance of loss comparison
Fig.9  Performance of loss comparison
Fig.9  Performance of loss comparison
Fig.9  Performance of loss comparison
Fig.9  Performance of loss comparison
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