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Optimal Locating and Sizing of SSSC using Genetic Algorithm in Deregulated Power Market

by Seyed M.H Nabavi, Kamran Khafafi, Aidin Sakhavati, Saeid Nahi
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 22 - Number 4
Year of Publication: 2011
Authors: Seyed M.H Nabavi, Kamran Khafafi, Aidin Sakhavati, Saeid Nahi
10.5120/2569-3532

Seyed M.H Nabavi, Kamran Khafafi, Aidin Sakhavati, Saeid Nahi . Optimal Locating and Sizing of SSSC using Genetic Algorithm in Deregulated Power Market. International Journal of Computer Applications. 22, 4 ( May 2011), 37-41. DOI=10.5120/2569-3532

@article{ 10.5120/2569-3532,
author = { Seyed M.H Nabavi, Kamran Khafafi, Aidin Sakhavati, Saeid Nahi },
title = { Optimal Locating and Sizing of SSSC using Genetic Algorithm in Deregulated Power Market },
journal = { International Journal of Computer Applications },
issue_date = { May 2011 },
volume = { 22 },
number = { 4 },
month = { May },
year = { 2011 },
issn = { 0975-8887 },
pages = { 37-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume22/number4/2569-3532/ },
doi = { 10.5120/2569-3532 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:08:34.148808+05:30
%A Seyed M.H Nabavi
%A Kamran Khafafi
%A Aidin Sakhavati
%A Saeid Nahi
%T Optimal Locating and Sizing of SSSC using Genetic Algorithm in Deregulated Power Market
%J International Journal of Computer Applications
%@ 0975-8887
%V 22
%N 4
%P 37-41
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The aim of this paper is presenting a genetic algorithm based method for congestion management and to maximize social welfare using one unit Static Synchronous Series Compensator (SSSC) in a double auction pool market based power systems. The aims are achieved by optimal locating and sizing one SSSC unit. In this paper, the GenCos cost functions are considered to be the quadratic form. Simulation outcomes on the modified IEEE 14 bus test system are used to show the impact of SSSC unit on the congestion management and social welfare maximization. Inclusion of the benefit functions of customer in the objective function and the utilization of a GA based algorithm for optimal locating/sizing of SSSC to guarantee fast convergence to the global optimal solution are the main contributions.

References
  1. Naresh Acharya and N. Mithulananthan, “Locating series FACTS devices for congestion management in deregulated electricity markets,” Electric Power Systems Research, vol. 77, pp. 352-360, March 2007.
  2. Nadarajah Mithulananthan and Naresh Acharya, “A proposal for investment recovery of FACTS devices in deregulated electricity markets,” Electric Power Systems Research, vol. 77, pp. 695-703 , April 2007.
  3. P. L. Jaskow and J. Tirole, “Transmission rights and market power on electric power networks,” in RAND J. Econ. 31, Autumn 2000, pp. 450–487.
  4. R. S. Fang and A. K. David, “Transmission congestion management in electricity market,” IEEE Transactions on Power Systems, vol. 14, No. 3, pp. 887-883, August 1999.
  5. A. K. David, “Dispatch methodologies for open access transmission systems,” IEEE Transactions on Power Systems, vol. 13, No. 1, pp. 46-53, Feb. 1998.
  6. S. N. Singh and A. K. David, “A new approach for placement of FACTS devices in open power markets,” IEEE Power Engineering Review 21, pp. 58-60, Sep. 2001.
  7. Yog. Raj Sood, “Evolutionary programming based optimal power flow and its validation for deregulated power system analysis,” Electric Power Systems Research, vol. 29, pp. 65-75, March 2006.
  8. G. B. Shrestha and Wang Feng, “Effects of series compensation on spot price power markets,” Electric Power Systems Research, vol. 27, pp. 428-436, March 2005.
  9. S.N. Singh and A. K. David, “Optimal location of FACTS devices for congestion management,” Electric Power Systems Research, vol. 58, pp. 71-79, Oct. 2000.
  10. FGM. Lima, J. Munoz, I. Kockar, and FD Galiana, “Optimal location of phase shifters in a competitive market by mixed integer linear programming,” 14th PSCC, Sevilla, 24-28 June 2002.
  11. “Power system test case achieves”, Retrieved 10 December 2004. From http://www.ee.washington.edu/research/pstca
  12. V. C. Ramesh and X. Li, “A Fuzzy multiobjective approach to contingency constrained OPF,” IEEE Transaction on Power System, vol. 12, No. 3, pp. 1348-1354, 1997
Index Terms

Computer Science
Information Sciences

Keywords

social welfare maximization congestion management deregulated power market genetic algorithms SSSC optimal power flow

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