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Optimal Placement of Series and Compound Compensators for Power Loss Minimization based on WPSO Algorithm

by Ruba Al-mula Humadi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 97 - Number 12
Year of Publication: 2014
Authors: Ruba Al-mula Humadi
10.5120/17056-7361

Ruba Al-mula Humadi . Optimal Placement of Series and Compound Compensators for Power Loss Minimization based on WPSO Algorithm. International Journal of Computer Applications. 97, 12 ( July 2014), 1-7. DOI=10.5120/17056-7361

@article{ 10.5120/17056-7361,
author = { Ruba Al-mula Humadi },
title = { Optimal Placement of Series and Compound Compensators for Power Loss Minimization based on WPSO Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 97 },
number = { 12 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-7 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume97/number12/17056-7361/ },
doi = { 10.5120/17056-7361 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:23:54.057231+05:30
%A Ruba Al-mula Humadi
%T Optimal Placement of Series and Compound Compensators for Power Loss Minimization based on WPSO Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 97
%N 12
%P 1-7
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents series and compound compensators that will be added to the power system in order to enhance the voltage stability during the increasing in power demand. In order to get the optimal location, size and the minimum power loss of these compensators a comparative study is made between the two types based on normal PSO and weighted PSO optimization methods. The proposed algorithm is applied on IEEE 30-bus test system and the simulations have been made in MATLAB R2013a software environment. The results show that the system performance is better with WPSO than PSO.

References
  1. Hasan Da?, Banu Öztürk and Aysu Özyürek, "Application of series and shunt compensation to Turkish national power transmission system to improve system load ability", ELECO99 international conference on electrical and electronics engineering (Eo1. 101/A2-61),1999, pp. 243-247.
  2. Ulas Eminoglu, M. Hakan Hocaoglu and Tankut Yalcinoz, "Transmission line shunt and series compensation with voltage sensitive loads", International Journal of Electrical Engineering Education 46/4,2009, pp:354-369,
  3. Om Prakash Mahela& Sheesh Ram Ola, "Comparison of HT Shunt Capacitors and SVC for Active and Reactive Power Flow Control in Transmission Line: the Case of RRVPNL Power Grid", International Journal of Electrical and Electronics Engineering (IJEEE), ISSN 2278-9944, Vol. 2, Issue 1, Feb 2013,pp: 49-58
  4. Prasanthi P. S, Hazeena K . A ,"Improved Particle Swarm Optimization Based Loss Minimization", International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol. 2, Special Issue 1, December 2013, ISSN (Print) : 2320 – 3765, ISSN (Online): 2278 – 8875, pp: 21-29. India.
  5. Altaf Badar, Dr. B. S. Umre, and Dr. A. S. Junghare, "Study of Artificial Intelligence Optimization Techniques applied to Active Power Loss Minimization", IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE) e-ISSN: 2278-1676, p-ISSN: 2320-3331 PP 39-45 www. iosrjournals. org. International Conference on Advances in Engineering & Technology – 2014 (ICAET-2014)
  6. Numphetch Sinsuphun, Uthen Leeton, Umaporn Kwannetr, "Loss Minimization Using Optimal Power Flow Based on Swarm Intelligences", ECTI Transactions on Electrical Eng. , Electronics, and Communications Vol. 9, NO. 1 February 2011, pp:212-222.
  7. Xiao-Ping Zhang, Christian Rehtanz and Biksh Pal, "Flexible AC transmission systems modeling and control ", springer-verlag Berlin Heidelberg 2006. Printed in Germany.
  8. Kennedy, J. and R. Eberhart, Particle swarm optimization," IEEE Proc. International Conference on Neural Networks, 1942-1948, Perth, Aust, November 1995.
  9. M. Clerc, "The Swarm and the Queen: Towards a Deterministic and Adaptive Particle Swarm Optimization", Proceedings of Congress on Evolutionary Computation, Annecy, France, vol. 3, pp. 1951-1957, 06-09 July, 1999.
  10. Chai, J. Li, Y. Zhang, M. Jiang, and Y. Xu, "Intelligent Optimization Method of PSS Parameters Based on Grid Equivalence", International Conference on Electrical and Control Engineering (ICECE), Yichang, China, 16-18 Sept. 2011.
  11. R. Zimmerman, C. E. Murillo-Sanchez, and D. Gan, "MATPOWER: A MATLAB power system simulation package", Cornell University, Ithaca, NY, 2008. [Online]. Available: http://www. pserc. cornell. edu/matpower/
  12. S J Bassi, M K Mishra and E E Omizegba, Automatic Tuning of Proportional–Integral–Derivative (PID) Controller using Particle Swarm Optimization (PSO) Algorithm. International Journal of Artificial Intelligence & Applications (IJAIA), 2011. vol. 2, no. 4, pp:25-34.
Index Terms

Computer Science
Information Sciences

Keywords

Power flow standard PSO WPSO

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