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Evolutionary Algorithm based Centralized Congestion Management for Multilateral Transactions

Published on December 2013 by T. Mathumathi, S.visalakshi
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International Conference on Innovations In Intelligent Instrumentation, Optimization and Electrical Sciences
Foundation of Computer Science USA
ICIIIOES - Number 2
December 2013
Authors: T. Mathumathi, S.visalakshi
00c77b95-3062-4341-b691-cc68a481ec9f

T. Mathumathi, S.visalakshi . Evolutionary Algorithm based Centralized Congestion Management for Multilateral Transactions. International Conference on Innovations In Intelligent Instrumentation, Optimization and Electrical Sciences. ICIIIOES, 2 (December 2013), 24-29.

@article{
author = { T. Mathumathi, S.visalakshi },
title = { Evolutionary Algorithm based Centralized Congestion Management for Multilateral Transactions },
journal = { International Conference on Innovations In Intelligent Instrumentation, Optimization and Electrical Sciences },
issue_date = { December 2013 },
volume = { ICIIIOES },
number = { 2 },
month = { December },
year = { 2013 },
issn = 0975-8887,
pages = { 24-29 },
numpages = 6,
url = { /proceedings/iciiioes/number2/14289-1398/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Innovations In Intelligent Instrumentation, Optimization and Electrical Sciences
%A T. Mathumathi
%A S.visalakshi
%T Evolutionary Algorithm based Centralized Congestion Management for Multilateral Transactions
%J International Conference on Innovations In Intelligent Instrumentation, Optimization and Electrical Sciences
%@ 0975-8887
%V ICIIIOES
%N 2
%P 24-29
%D 2013
%I International Journal of Computer Applications
Abstract

This work presents an approach for AC load flow based centralized model for congestion management in the forward markets. In this model, transaction maximizes its profit under the limits of transmission line capacities allocated by independent system operator(ISO). The voltage and reactive power impact of the system are also incorporated in this model. Genetic algorithm is used to solve centralized congestion management problem for multilateral transactions. Results obtained for centralized model using genetic algorithm is compared with sequential quadratic programming(SQP) technique. The statistical performances of various algorithms such as best, worst, mean and standard deviations of social welfare are given. Simulation results clearly demonstrate the better performance of genetic algorithm over SQP.

References
  1. R. D. Christe,B. F. Wollenberg, "Transmission management in the deregulated environment',proc. IEEE,2000,88,pp. 170-195.
  2. European Transmission System Operator (ETSO): Available at http://www. etso-netorg. accessed February 2009.
  3. PJM-MISO Joint and common market White Paper. Available at :http//www. jointandcommon. com,accessed February 2009.
  4. B. H. Kim. , R. Baldick,:"Coarse-grained distributed optimal power flow",IEEE Trans. Power System. ,1997,12,(2),pp. 932-939.
  5. R. Baldick:"A fast distributed implementation of optimal power flow",IEEE Trans. Power System. ,1999,14,(3),pp. 858-864.
  6. S. Baskar. , A. Alphones. , P. N. Suganathan. , N. O. Ngo, R. T. Zhen,:"Design of optimal length low-dispersion FPG filter using covariance matrix adapted evolution", IEEE Transactions on Photonics Technology. , 2005,17,(10), pp. 2119-2121.
  7. A. Budhahir. , S. BASKAR. ,:"An Evolutionary optimized non-linear function to improve the linearity of transducer characteristics", Meas. Sci. Technol. , 2008, 19, (045103), pp. 1-11
  8. Kai liu,Yixin ni, F. F. Wu, T. S. Bi: "Decentralized congestion management for multilateral transactions based on optimal resource allocation", IEEE Transactions on Power Systems,2007,22,(4), pp. 1835-1842.
  9. S. Dutta, S. P. Singh: "Optimal rescheduling of generators for congestion management based on particle swarm optimization", IEEE Transactions on Power Systems,2008,23,(4),pp. 1560-1569.
  10. Hazra, A. K. Sinha. : "Congestion management using multiobjective particle swarm optimization",IEEE Transactions on Power Systems,2007,22(4),pp. 1726-1734.
  11. G. Yesuratnam,and D. Thukaram, "Congestion management in open access based on relative eletrical distances using voltage stability criteria," Electric power systems research,vol. 77,pp 1608-1618,2007
  12. S. HAO:"Decentralized approach to intermarket congestion management", IEEE Transaactions on Power Systems,2005,20(2),pp. 675-685.
  13. R. Gnanadass, N. P. Padhy, T. G. Palanivelu: "A new method for the transmission congestion management in the restructured power market", Electrika,2007,9,pp. 52-58.
  14. P. Venkatesh, R. Gnanadass, N. P. Padhy,: 'Available transfer capability determination using power transfer distribution factors', Int. J. Emerg. Electrical Power Systems. ,2004,1, pp. 1-14
Index Terms

Computer Science
Information Sciences

Keywords

Congestion Management Genetic Algorithm(ga) Sequential Quadratic Programming(sqp).