CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Article:Particle Swarm Optimization Algorithm for Voltage Stability Enhancement by Optimal Reactive Power Reserve Management with Multiple TCSCs

by S.Sakthivel, Dr.D.Mary
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 11 - Number 3
Year of Publication: 2010
Authors: S.Sakthivel, Dr.D.Mary
10.5120/1562-2090

S.Sakthivel, Dr.D.Mary . Article:Particle Swarm Optimization Algorithm for Voltage Stability Enhancement by Optimal Reactive Power Reserve Management with Multiple TCSCs. International Journal of Computer Applications. 11, 3 ( December 2010), 19-27. DOI=10.5120/1562-2090

@article{ 10.5120/1562-2090,
author = { S.Sakthivel, Dr.D.Mary },
title = { Article:Particle Swarm Optimization Algorithm for Voltage Stability Enhancement by Optimal Reactive Power Reserve Management with Multiple TCSCs },
journal = { International Journal of Computer Applications },
issue_date = { December 2010 },
volume = { 11 },
number = { 3 },
month = { December },
year = { 2010 },
issn = { 0975-8887 },
pages = { 19-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume11/number3/1562-2090/ },
doi = { 10.5120/1562-2090 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:59:40.614085+05:30
%A S.Sakthivel
%A Dr.D.Mary
%T Article:Particle Swarm Optimization Algorithm for Voltage Stability Enhancement by Optimal Reactive Power Reserve Management with Multiple TCSCs
%J International Journal of Computer Applications
%@ 0975-8887
%V 11
%N 3
%P 19-27
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A power system, during disturbances, is at risks of voltage instability due to insufficient reactive power reserves. Reactive power reserve management is a reliable indicator of voltage security of power networks. This paper proposes a Particle Swarm Optimization (PSO) based optimal reactive power reserve management task incorporating only one type of FACTS device. Optimal placement of multi type FACTS devices can naturally manage the reactive power reserves. But for large size power systems, this becomes a tedious work owing to the mathematical complexities and much time for obtaining the optimal results. Optimal location and parameter setting of multiple TCSCs is considered for an acceptable and suboptimal solution for reactive power reserve management. Particle swarm optimization technique optimizes the location and size of TCSCs.The effectiveness of the proposed work is tested for IEEE-30 Bus test system with multiple TCSC devices. It has also been observed that the proposed algorithm can be applied to larger systems and do not suffer with computational difficulties.

References
  1. C. W. Taylor, Power System Voltage Stability. New York: McGraw-Hill, 1994
  2. P. Kessel and H. Glavitsch, "Estimating the Voltage Stability of Power System," IEEE Trans. Power delivery, Vol. PWRD-1, No. 3, pp. 346- 354, July 1986.
  3. H. Wan, J. D. Mc Calley and V. Vittal, “Risk Based Voltage Security Assessment”, IEEE Transaction on Power Systems, Vol. 15, No. 4, Nov. 2000, pp. 1247 – 1254.
  4. T. Menezes, L. C. da Silva, and V. F. da Costa, “Dynamic VAR sources scheduling for improving voltage stability margin,” IEEE Trans. Power Syst., vol. 18, no. 2, pp. 969– 971, May 2003.
  5. S. Granville, “Optimal reactive dispatch through interior point methods,” IEEE Trans. Power Syst., vol. 9, no. 1, pp. 136–146, Feb. 1994.
  6. E. Vaahedi, Y. Mansour, C. Fuchs, S. Granville, M. D. L. Latore, and H. Hamadanizadeh,“Dynamic security constrained optimal power flow/var planning,” IEEE Trans. On Power Systems, vol. 16, no. 1, pp. 38–43,Feb. 2001.
  7. Lee, K. Y. and Yang, F. F. , “Optimal Reactive Power Planning Using Evolutionary Algorithms : A Comparative Study for Evolutionary Programming, Evolutionary Strategy, Genetic Algorithm and Linear Programming”, IEEE Transactions on power systems, Vol. 13, No. 1,Feb-1998, pp : 101-108.Trans.on Power-Delivery, vol. 10, pp.1471-1478, 1995.
  8. C. W. Liu, C. S. Chang and J. A. Jiang, “Genetic Algorithms as a Reactive Power Dispatching Aid for Voltage Security Enhancement”, Proc. Natl.Sci. Counc. ROC(A), Vol.25, No. 1, 2001., p.p.53 – 62.
  9. J. Cao and Q. H. Wu, “Optimal Reactive Power Dispatch Using an Adaptive Genetic Algorithm”, Genetic Algorithms In Engineering Systems:Innovations And Applications,1997.GALESIA97.Second International Conference On (Conf.Publ. No. 446), 2 - 4 Sept. 1997, p.p. 117 – 122
  10. Q. H. Wu and J. T. Ma, “Power system optimal reactive power dispatch using evolutionary programming”, IEEE Transaction on Power Systems, Vol. 10, Issue 3, Aug. 1995,pp. 1243 –1249.
  11. M. Z. M. Idrus, I. Musirin and Z. Zainuddin, “BiologicalComputing Technique for Optimal Reactive Power Dispatch”, Colloqium on Signal Processing and itsApplication CSPA 2006, 11–13 March 2006 Pahang, Malaysia, pp. 112 - 118.
  12. H. Yoshida, K.Kawata, Y.Fukuyama, S.Takayama and Y.Nakanishi, "A particle swarm optimization for reactive power and voltage control considering voltage security assessment,"IEEE Trans.on Power Systems, vol.15, pp. 1232-1239, 2000.
  13. Feng Dong,et al, “Improving Voltage Stability by Reactive Power Reserve Management” IEEE transactions on Power Systems, Vol. 20,N0.1, pp.338-345, February 2005.
  14. Noroozian M. Angquist L., Ghandhari M., Andersson G. “Improving Power System Dynamics by Series-Connected FACTS Devices”, IEEE Transactions on Power Delivery, vol. 12, No. 4, pp.1635-1641, October 1997.
  15. Wood A.J. and Wollenberg B.F. “Power Generation, Operation, and Control”, John Wiley and Sons, New York, 1996.
  16. N G. Hingorani, L. Gyugyi, Understanding FACTS: Concepts and Technology of Flexible AC Transmission Systems, IEEE Press, New- York, 2000.
  17. Lu Yunqiang and Abur Ali,: “Improving System Static Security via Optimal Placement of Thyristor Controlled Series Capacitor (TCSC)”, IEEE, PES, WM, Columbus, Ohio, USA., Jan.2001.
  18. Billinton R., Firuzabad M.F., Faried S.O. “Power System Reliability Enhancement using a thyristor Controlled Series Capacitor”, IEEE transactions on Power Systems vol.14, No. 1, pp.369-374, February. 1999.
  19. Preecha Preedavichit, Srivastava, S. C., “Optimal Reactive Power Dispatch Considering FACTS Devices”, Electric power system research, Vol. 46, 1998, pp : 251-257.
  20. J. J. Jimenez-Nunez and J.R. Cedeno-Maldonado, “A Particle Swarm Optimization Approach for Reactive Power Dispatch”, Power Symposium,2005. Proceedings of the 37th Annual North American, 23-25 Oct. 2005, pp 198 – 205.
  21. Paserba, N.Miller, E.Laesen and R.Piwko,” A Thyristor controlled series compensation model for power system stability analysis," IEEE
  22. Garng Huang and Tong Zhu, “TCSC as a transient voltage stabilizing controller,” IEEE conference proceeding, pp.628-633., 2001.
  23. Yunqiang Lu, Ali Abur, “Static security enhancement via optimal utilization of Thyristor-Controlled Series Capacitors,” IEEE Trans.Power System., vol.17, pp.324-329, May 2002.
  24. J. Kennedy, R. Eberhart, "Particle swarm optimization in,” Proceedings of the IEEE International Conference on Neural Networks, pp. 1942- 1948 1995.
  25. Power Systems Test Case, The University of Washington Archive, http://www.ee.washington.edu/research/pstca/, 2000.
Index Terms

Computer Science
Information Sciences

Keywords

FACTS devices TCSC Reactive Power Reserve Management Particle Swarm Optimization Algorithm

Powered by PhDFocusTM