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Application of Differential Evolution to Dynamic Economic Dispatch Problem with Transmission Losses under Various Bidding Strategies in Electricity Markets

  • Rampriya, B. (Dept. of Electrical and Electronic Engineering, Sri Krishna College of Eng. and Tech.) ;
  • Mahadevan, K. (Dept. of Electrical and Electronic Engineering, PSNA College of Engg. and Tech.) ;
  • Kannan, S. (Dept. of EEE, Kalasalinagm University)
  • Received : 2011.10.02
  • Accepted : 2012.05.01
  • Published : 2012.09.01

Abstract

This paper presents the application of Differential Evolution (DE) algorithm to obtain a solution for Bid Based Dynamic Economic Dispatch (BBDED) problem including the transmission losses and to maximize the social profit in a deregulated power system. The IEEE-30 bus test system with six generators, two customers and two trading periods are considered under various bidding strategies in a day-ahead electricity market. By matching the bids received from supplying and distributing entities, the Independent System Operator (ISO) maximize the social profit, (with the choices available). The simulation results of DE are compared with the results of Particle swarm optimization (PSO). The results demonstrate the potential of DE algorithm and show its effectiveness to solve BBDED.

Keywords

References

  1. Xia.X, Elaiw.A.M, Optimal dynamic economic dispatch of generation: A review, Electric power systems research, Vol. 80,2010, pp.975-986. https://doi.org/10.1016/j.epsr.2009.12.012
  2. P.Attaviriyanupap, H.Kita, E.Tanaka, J.Hasegawa, A fuzzy optimization approach to dynamic economic dispatch considering uncertainities, IEEE Trans. on power systems, Vo. 19, No. 3, 2004, pp. 1299-1307. https://doi.org/10.1109/TPWRS.2004.831272
  3. Whei -Min Lin, Shi -Jaw Chen, Bid based dynamic economic dispatch with an efficient interior point algorithm, International Journal of Electrical power and energy systems, Vol. 24,2002, pp.51-57. https://doi.org/10.1016/S0142-0615(01)00007-2
  4. H.Rudnick, R.Varela and W.Hogan, Evaluation of alternatives for power system coordination and pooling in a competitive environment, IEEE Trans. On power systems, Vol. 12, 1997, pp. 605-613 https://doi.org/10.1109/59.589615
  5. S.N. Singh, Power Systems Restructuring Models, Proceedings of CEP course held at IIT Bombay, 2002.
  6. Bo Zhao, Chuangxin Guo and Yijia Cao, Dyanamic Economic dispatch in Electricity market using Particle swarm optimization algorithm, in IEEE Proceedings of the 5th World Congress on Intelligent control and Automation, pp. 5050-5054, June 2004.
  7. A.J.Wood and Woolenberg, power generation operation and control (John Wiley& Sons).
  8. http://www.dis.anl.gov/publications/articles/ceeesa_EMCAS_IAEE72005NorwayPaper.pdf
  9. Daoyuan Zhang, Yajun Wang, and Peter B. Luh, Optimization Based Bidding Strategies in the Deregulated Market, IEEE Transactions on Power systems, Vol.15, No.3, 2000.
  10. X. Guan, P. B. Luh, H. Yan, and P. M. Rogan, Optimization-based scheduling of hydrothermal power systems with pumped-storage units, IEEE Trans. on Power Syst., Vol. 9, No. 2, pp. 1023-1031, May 1994. https://doi.org/10.1109/59.317641
  11. R.Storn, K.Price, Differential Evolution- A simple and efficient adaptive scheme for global optimization over continuous spaces, in Technical Report TR -95- 012, ICSI, 1995.
  12. D.Karaboga, S.Okdem, A simple and global optimization for engineering problems: differential evolution algorithm, Turkish Journal of Electrical Engineering, Vol. 12, No.1, 2004.
  13. Abou. A. A, Abido. M.A, Spea S.R, Differential evolution algorithm for emission constrained economic power dispatch problem, Electric power systems Research, Vol. 80, 2010, pp.1286-1292. https://doi.org/10.1016/j.epsr.2010.04.011
  14. ietd.inflibnet.ac.in/bitstream/1063/1271/18/18_appendix.pdf (Accessed online on 22 March 2011)
  15. Shi, Y., Eberhart, R.C, Parameter selection in particle swarm optimisation, In. EP VII (1998), Lecture Notes in Computer science 1447, Springer pp.591-600.

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