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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
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ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  2/2011 - 16

 HIGH-IMPACT PAPER 

Social Welfare Improvement by TCSC using Real Code Based Genetic Algorithm in Double-Sided Auction Market

NABAVI, S. M. H. See more information about NABAVI, S. M. H. on SCOPUS See more information about NABAVI, S. M. H. on IEEExplore See more information about NABAVI, S. M. H. on Web of Science, KAZEMI, A. See more information about  KAZEMI, A. on SCOPUS See more information about  KAZEMI, A. on SCOPUS See more information about KAZEMI, A. on Web of Science, MASOUM, M. A. S. See more information about MASOUM, M. A. S. on SCOPUS See more information about MASOUM, M. A. S. on SCOPUS See more information about MASOUM, M. A. S. on Web of Science
 
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Download PDF pdficon (639 KB) | Citation | Downloads: 1,473 | Views: 4,634

Author keywords
congestion management, real code based-GA, rescheduling, social welfare maximization, TCSC

References keywords
power(22), management(8), congestion(7), systems(6), optimal(6), electric(6), research(5), flow(5), transmission(4), system(4)
No common words between the references section and the paper title.

About this article
Date of Publication: 2011-05-30
Volume 11, Issue 2, Year 2011, On page(s): 99 - 106
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.02016
Web of Science Accession Number: 000293840500016
SCOPUS ID: 79958828876

Abstract
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This paper presents a genetic algorithm (GA) to maximize total system social welfare and alleviate congestion by best placement and sizing of TCSC device, in a double-sided auction market. To introduce more accurate modeling, the valve loading effects is incorporated to the conventional quadratic smooth generator cost curves. By adding the valve point effect, the model presents nondifferentiable and nonconvex regions that challenge most gradient-based optimization algorithms. In addition, quadratic consumer benefit functions integrated in the objective function to guarantee that locational marginal prices charged at the demand buses is less than or equal to DisCos benefit, earned by selling that power to retail customers. The proposed approach makes use of the genetic algorithm to optimal schedule GenCos, DisCos and TCSC location and size, while the Newton-Raphson algorithm minimizes the mismatch of the power flow equations. Simulation results on the modified IEEE 14-bus and 30-bus test systems (with/without line flow constraints, before and after the compensation) are used to examine the impact of TCSC on the total system social welfare improvement. Several cases are considered to test and validate the consistency of detecting best solutions. Simulation results are compared to solutions obtained by sequential quadratic programming (SQP) approaches.


References | Cited By  «-- Click to see who has cited this paper

[1] D. Shirmohammadi, B. Wollenberg, A. Vojdani, P. Sandrin, M. Pereira, F. Rahimi, T. Schneider and B. Stott, "Transmission dispatch and congestion management in the emerging energy market structures", IEEE Trans. Power Syst., vol. 13, Issue 4, pp. 1466 - 1474, Nov. 1998.
[CrossRef] [Web of Science Times Cited 89] [SCOPUS Times Cited 125]


[2] J. Hazra and A.K. Sinha, "Congestion management using multi objective particle swarm optimization", IEEE Trans. Power Syst., vol. 22, Issue 4, pp. 1726-1734, Nov. 2007.
[CrossRef] [Web of Science Times Cited 148] [SCOPUS Times Cited 221]


[3] S. M. H. Nabavi, S. Jadid, M. A. S. Masoum and A. Kazemi, "Congestion management in nodal pricing with genetic algorithm", International Conference on Power Electronics, Drives and Energy Syst., PEDES '06, pp. 1-5, 12-15 Dec. 2006.

[4] C. Z. Karatekin and C. Ucak, "Sensitivity analysis based on transmission line susceptances for congestion management", Electric Power Systems Research, vol. 78, Issue 9, pp. 1485-1493, Sept. 2008.
[CrossRef] [Web of Science Times Cited 16] [SCOPUS Times Cited 21]


[5] S. Gerbex, R. Cherkaoui and A. J. Germond, "Optimal location of multitype FACTS devices in a power system by means of genetic algorithms", IEEE Trans. Power Syst., vol. 16, pp. 537-544, 2001.
[CrossRef] [Web of Science Times Cited 452] [SCOPUS Times Cited 664]


[6] S. N. Singh and A. K. David, "Optimal location of FACTS devices for congestion management", Electric Power Systems Research, vol. 58, Issue 2, pp. 71-79, 21 June 2001.
[CrossRef] [Web of Science Times Cited 154] [SCOPUS Times Cited 244]


[7] S. Bruno and M. LaScala, "Unified power flow controllers for security constrained transmission management", IEEE Trans. Power Syst., pp. 418-426, 18 February 2004.
[CrossRef] [Web of Science Times Cited 29] [SCOPUS Times Cited 41]


[8] K. S. Verma, S. N. Singh and H. O. Gupta, "Location of unified power flow controller for congestion management", Electric Power Systems Research, vol. 58, Issue 2, pp. 89-96, 21 June 2001.
[CrossRef] [Web of Science Times Cited 93] [SCOPUS Times Cited 143]


[9] J. Zhang and A. Yokoyama, "Optimal power flow control for congestion management by interline power flow controller (IPFC)", International Conference on Power System Technology, PowerCon, pp.1-6, Oct. 2006.

[10] G. B. Shrestha and W. Feng, "Effects of series compensation on spot price power markets", Electric Power Systems Research, vol. 27, pp. 428-436, 2005.
[CrossRef] [Web of Science Times Cited 36] [SCOPUS Times Cited 56]


[11] R. S. Fang and A. K. David, "Optimal dispatch under transmission contracts," IEEE Trans. Power Syst., vol. 14, no. 2, pp. 732-737, May 1999.
[CrossRef] [Web of Science Times Cited 95] [SCOPUS Times Cited 136]


[12] X. P. Wang and L. P. Cao, "Genetic algorithms-theory, application and software realization", Xi'an Jiaotong University, Xi'an, China, 1998.

[13] S. Sayah and Kh. Zehar, "Modified differential evolution algorithm for optimal power flow with non-smooth cost functions", Electric Power Systems Research, vol. 49, pp. 3036-3042, 2008.

[14] A. Ulinuha, M. A. S. Masoum and S. M. Islam, "Optimal Scheduling of LTC and Shunt Capacitors in Large Distorted Distribution Systems using Genetic Algorithms", IEEE Trans. on Power Delivery, Vol.23, No.1, pp.434-441, Jan 2008.
[CrossRef] [Web of Science Times Cited 39] [SCOPUS Times Cited 48]


[15] M, Shiddehpour, H. Yamin and Z. Y. LI, "Market Operations in Electric Power System", New York: Wiley, pp. 477-478, 2002

[16] R. D. Zimmerman, C. E. Murillo-Sanchez, and D. Gan, MATPOWER: A Matlab Power System Simulation Package 2006.



References Weight

Web of Science® Citations for all references: 1,151 TCR
SCOPUS® Citations for all references: 1,699 TCR

Web of Science® Average Citations per reference: 68 ACR
SCOPUS® Average Citations per reference: 100 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2022-11-23 06:53 in 135 seconds.




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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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