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Voltage Profile Analysis in Power Transmission System based on STATCOM using Artificial Neural Network in MATLAB/SIMULINK

by Amit Garg, Ravindra Pratap Singh
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International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 6 - Number 1
Year of Publication: 2013
Authors: Amit Garg, Ravindra Pratap Singh
10.5120/ijais13-450989

Amit Garg, Ravindra Pratap Singh . Voltage Profile Analysis in Power Transmission System based on STATCOM using Artificial Neural Network in MATLAB/SIMULINK. International Journal of Applied Information Systems. 6, 1 ( September 2013), 7-15. DOI=10.5120/ijais13-450989

@article{ 10.5120/ijais13-450989,
author = { Amit Garg, Ravindra Pratap Singh },
title = { Voltage Profile Analysis in Power Transmission System based on STATCOM using Artificial Neural Network in MATLAB/SIMULINK },
journal = { International Journal of Applied Information Systems },
issue_date = { September 2013 },
volume = { 6 },
number = { 1 },
month = { September },
year = { 2013 },
issn = { 2249-0868 },
pages = { 7-15 },
numpages = {9},
url = { https://www.ijais.org/archives/volume6/number1/518-0989/ },
doi = { 10.5120/ijais13-450989 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T17:59:24.249879+05:30
%A Amit Garg
%A Ravindra Pratap Singh
%T Voltage Profile Analysis in Power Transmission System based on STATCOM using Artificial Neural Network in MATLAB/SIMULINK
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 6
%N 1
%P 7-15
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper deals with Voltage Stability Analysis in a Power Transmission System with and without STATCOM using Artificial Neural Network in MATLAB/ SIMULINK. It is shown that trained Neural Network developed has excellent capabilities of forecasting which can be very useful in research. Voltage control and reactive power compensation in a weak distribution networks for integration of wind power is also represented in this paper. For dynamic reactive power compensation, when,STATCOM (Static Synchronous Compensator) is a used at a point of interconnection of wind farm and the network; the system absorbs the generated wind power for maintaining its voltage level. Voltage level of the system changes on changing the values of resistive loads connected to transmission line and using these voltages on bus 1 and bus2 on different values of loads a neural network is developed after training which can forecast voltage on bus 1 and bus 2 of the transmission line on any values of the resistive load connected to transmission line.

References
  1. Nang Sabai, and Thida Win (2008) "Voltage control and dynamic performance of power transmission system using SVC" World Academy of Science, Engineering and Technology 42 Pp. 425-429
  2. P. Kundur, "Power system stability and control", Mc Graw-Hill, 1994
  3. D Murali ,"Comparison of FACTS devices for power system stability enhancement"International Journal of Computer Applications (0975 – 8887) Volume 8– No. 4, Pp. 30-35
  4. H. Yazdanpanahi ,"Application of FACTS devices in transmission expansion to overcome the problems related to delays".
  5. A. E. Hammad, "Analysis of power system stability enhancement by static var compensator", IEEE PWRS, vol 1, no 4, pp. 222-227.
  6. Christian Rehtanz April (2009) ,"New types of FACTS devices for power system security and efficiency" Pp-1-6.
  7. Hadi Saadat, "Power system analysis", Mc Graw-Hill companies. Inc,1999.
  8. Edris Abdel, "Series Compensation SchemesReducing the Potential of Sub synchronous Resonance, "IEEE Trans. On power systems, vol. 5 No. 1. Feb1990. Pp. 219-226
  9. Atef Aly El-Emary, "Effect of static VAR compensator upon synchronizing Torque coefficient. " Electric Machines and Power Systems 25:371-386, 1977.
  10. A. R. Messina, O. Begovich M. "Analytical investigation of the use of static Var compensators to aid damping of inter area oscillations. " Electric Power System Research 21(1999) 199-210.
  11. A. H. M. A. Rahim, M. F. Kandlawala, "Robust STATCOM voltage controller design using loop- shaping technique. " Electric Power System Research, vol. 60, Jan. 2004, 61-74.
  12. A. H. M. A. , S. A. Al-Baiyat and H. M. Al-Maghrabi, "Robust damping controller design for static compensator," IEE Proceedings Generation Transmission Distribution 149, 4(2002), pp. 491-496.
  13. Wenxin Liu, Ganesh K. , Venayagamoorthy and Donald C. Wunsch, II, "Design of an adaptive neural network based power system stabilizer", Trans. Neural Networks, Vol. 16, Issues 5-6, June-July 2003, Pages 891-898.
  14. Srinivas Pillutla and Ali Keyhani , "Power system stabilization based on modular neural network architecture", International Journal of Electrical Power & Energy Systems, Vol. 19, Issue 6, August 1997, pp. 411-418.
  15. José A. L. Barreiros, André M. D. Ferreira, Carlos Tavares-da-Costa, Jr. , Walter Barra, Jr. and João A. P. Lopes, "A neural power system stabilizer trained using local linear controllers in a gain-scheduling scheme", International Journal of Electrical Power & Energy Systems, Volume 27, Issue 7, September 2005, pp. 473-479.
  16. Srinivas Pillutla and Ali Keyhani , "Power system stabilization based on modular neural network architecture", International Journal of Electrical Power & Energy Systems, Vol. 19, Issue 6, August 1997, pp. 411-418.
  17. Shu-Rong Li; Hai-Tao Shi, "Neural network based on excitation controller design of power systems via backstepping", Proc. 2003 International Conference on Machine Learning and Cybernetics, Vol. 2, Issue 6, 2-5 Nov. 2003, pp. 934 - 939.
  18. Ruzic, S. ; Vuckovic, A. ; Nikolic, N, "Weather sensitive method for short term load forecasting in Electric Power Utility of Serbia", IEEE Transactions on Power Systems, Vol. 18, Issue: 4, pp. 1581- 1586, Nov. 2003.
  19. Loi Lei Lai, "Intelligent System Applications in Power Engineering: Evolutionary Programming and Neural Networks", John Wiley, NewYork.
  20. W. S. Mc Culloch and W. Pitts. A Logical Calculus of the Ideas Imminent in Nervous Activity. Bulletin of Mathematical Biophysics 5, 115-133, 1943.
  21. D. O. Hebb, The Organization of Behaviour, John Wiley & Sons. New York (1949).
Index Terms

Computer Science
Information Sciences

Keywords

Artificial Neural Network (ANN) Dynamic Performance Induction generators FACTs Matlab/Simulink Transient Stability Voltage Profile Analysis

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