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Economic Operation of Interconnected Power System and Unidirectional Flow through GSA

by Anumeha, K. B. Yadav, S. Agrawal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 149 - Number 7
Year of Publication: 2016
Authors: Anumeha, K. B. Yadav, S. Agrawal
10.5120/ijca2016911013

Anumeha, K. B. Yadav, S. Agrawal . Economic Operation of Interconnected Power System and Unidirectional Flow through GSA. International Journal of Computer Applications. 149, 7 ( Sep 2016), 11-15. DOI=10.5120/ijca2016911013

@article{ 10.5120/ijca2016911013,
author = { Anumeha, K. B. Yadav, S. Agrawal },
title = { Economic Operation of Interconnected Power System and Unidirectional Flow through GSA },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2016 },
volume = { 149 },
number = { 7 },
month = { Sep },
year = { 2016 },
issn = { 0975-8887 },
pages = { 11-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume149/number7/26008-2016911013/ },
doi = { 10.5120/ijca2016911013 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:54:05.356709+05:30
%A Anumeha
%A K. B. Yadav
%A S. Agrawal
%T Economic Operation of Interconnected Power System and Unidirectional Flow through GSA
%J International Journal of Computer Applications
%@ 0975-8887
%V 149
%N 7
%P 11-15
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper introduces a GSA for implemented to economic operation of a interconnected area power system and computes how much power has to be generated internally in an area and how much power has to be borrowed from other area through tie-line for a specified load so that generation cost is minimized in most economical sense. This method is explained with an example and the result obtained by the proposed method is compared with by particle swarm optimization (PSO) as reported in literature. It has been shown that this method is more efficient and takes less computation time than PSO.

References
  1. Olle I. Elgared, “Electric Power System Theory, An Introduction”, Second Edition, TMH, New Delhi, 1983.
  2. D. P. Kothari and I. J. Nagrath, “Modern Power System Analysis”, Third Edition, TMH, New Delhi, 2003.
  3. A. K. Ayoub and A. D. Patton, “Optimal Thermal generating Unit Commitment”, IEEE Trans on Power Apparatus and Systems, vol. 90, no. 4, pp 1752-56 , July 1971.
  4. H. H. Happ, “Optimal Power Dispatch – a Comprehensive Survey”, IEEE Trans. on Power Apparatus and Systems, vol. 96, no. 3, pp. 841-854, May1977.
  5. IEEE Committee Report, “Present Practices in the Economic Operation of Power System”, IEEE Trans on Power Apparatus and Systems , vol. 90, 1971.
  6. A. Farag, S. Al-Baiyat, and T. Cheng, “ Economic Load Dispatch Multi Objective Optimization Procedures Using Linear Programming Technique”, IEEE Trans. on Power System, vol. 10, no. 2, pp 731 – 738, May 1995.
  7. R. Jabr, A. Coonick and B. Cory, “A Homogeneous Linear Programming AlgorithmFor the Security Constrained Economic Dispatch Problem”, IEEE Trans. on Power System, vol. 15, no. 3, pp. 930-936, Aug 2000.
  8. S. Virmani, E. Adrian et. al. “Implementation of a Lagrangian Relaxation based Unit Commitment Problem”, IEEE Trans. on Power System,, vol. 4, no. 4, pp1373-1380, Nov 1989.
  9. Z. Oyang and S. Shahidehpour, “An Intelligent Dynamic Programming for Unit Commitment Application”, IEEE Trans .on Power System, vol-6, no. 3, pp 1203- 1209, Aug 1991.
  10. W. Hobbs, G. Hermon et. al. “An Enhanced Dynamic Programming Approach for Unit Commitment “, IEEE Trans. on Power System, vol. 3, no. 3, pp. 1201-1205, Aug. 1988.
  11. M. Sudhakaran et. al. “Particle Swarm Optimization for Economic and Emission Dispatch Problem”, Institute of Engineers, India, vol. 88, pp. 39-45, June 2007.
  12. Y. Shi and R. C. Eberhart, “Particle Swarm Optimization: Developments, Applications and Resources”, Proceedings of the 2001 Congress on Evolutionary Computation, vol. 1, pp. 81-86, May 2001.
  13. R. C. Eberhart and Y. Shi, “Comparing Inertia Weights and Constriction Factor in Particle Swarm Optimization”, Proceedings of the 2000 Congress on Evolutionary Computation, vol. 1, pp. 84-88, June 2000.
  14. J. Kennedy and R. Eberhart,”Particle Swarm Optimization” Proc. Int. Conf. Neu-Ral Networks (ICNN), vol. 4, pp. 1942-1948, Nov 1995.
  15. Yamille del Valle et.al. “Particle Swarm Optimization : Basic Concepts, Variants And Applications in Power Systems”, IEEE Trans. on Evolutionary Computation, vol. 12, no. 2, pp. 171-195, Apr 2008.
  16. Barkirtzis, V. Petridis and S. Kazarlis, “Genetic algorithm Solution to the Econo-mic Dispatch Problem”, IEE Proceedings-Generation, Transmission,and Distribution, vol. 141, no. 4, pp. 377-382, July 1994.
  17. S. Senthil Kumar and V. Palanisamy, “A Fast computation Hopfield Neural Net-Work Method of Unit Commitment”, Institute of Engineers India, vol. 88, pp. 3-9, June 2007.
  18. S. Agrawal, S. K. Das and D. Mazumdar, “A Novel Approach to Unit commit-Ment and Tie Line Power Flow for multiple area Power System”, MIT International Journal of Electrical and Instrumentation Engineering, vol. 1, no. 2, pp. 70-75, Aug 2011.
  19. S. Agrawal, T. Bakshi and D. Mazumdar, “Optimal Power Pooling for a Multiple Area Power System through PSO”, International Journal on Electrical Engineering and Informatics, vol. 6, no. 2, pp. 280-296, June 2014.
  20. E. Rashedi et. al.,”GSA: a Gravitational Search Algorithm”, Information Sciences, vol.179, no. 13, pp. 2232-2248, June 2009.
  21. R. K. Swain et. al., “Gravitational Search Algorithm for Optimal Economic Dispatch”, Procedia Technology, vol. 6, pp. 411-419, 2012.
  22. P. K. Roy, “Solution of Unit Commitment Problem using Gravitational Search Algorithm”, International Journal of Electrical Power & Energy Systems, vol. 53, pp. 85-94, Dec 2013.
  23. B. Shaw et al., “A Novel Optimization based Gravitational Search Algorithm for Combined Economic and Emission Dispatch Problem of Power System”, International Journal of Electrical Power & Energy Systems, vol. 35, no. 1, pp. 21-33, Feb 2012.
  24. S. Duman et. al., “Gravitational Search Algorithm for Economic Dispatch with Valve- Point Effect”, International review of Electrical Engineering, vol. 5, no. 6, pp. 2890-2895, Dec 2010.
  25. U. K. Rout et. al., “Gravitational Search Algorithm based Automatic Generation control for Interconnected Power System”, International Conerence on Circuits, Power and Computing Technologies (ICCPCT-2013), pp.558-563, Mar 2013.
  26. N. M. Sabri et. al. “A Review of Gravitational Search Algorithm”, Int. J. of Advance. Soft Comput. Appl., vol. 5, no. 3, pp. 1-39, Nov. 2013.
Index Terms

Computer Science
Information Sciences

Keywords

Optimization PSO GSA ELD Power system

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