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A Deterministic Hopfield Model To Dynamic Economic Dispatch With Ramp Limit And Prohibited Zones

Year 2012, Volume: 12 Issue: 1, 1464 - 1471, 02.09.2013

Abstract

A solution to the dynamic economic dispatch (DED) for 24-hour dispatch intervals (one day) with practical constraints using a Hopfield neural network (HNN) is proposed in this paper. The HNN is a deterministic model with mutual coupling and of non-hierarchical structure. A continuous and monotonically increasing transfer function is adopted in this model. The DED in this paper must satisfy the following constraints: (1) the system load demand, (2) the spinning reserve capacity, (4) the ramping rate limits and (5) finally the prohibited operating zone. The line losses are included in the algorithm using an iterative procedure where the load demand is augmented in each time interval with a maximum estimation of line losses. The feasibility of the proposed approach is demonstrated using two power systems, and it is compared with the other methods in terms of solution quality and computation efficiency.

References

  • X. S. Han, H. B. Gooi, D. S. Kirschen, “Dynamic economic dispatch: feasible and optimal solutions”, IEEE Trans. Power Syst., vol.16, no.1, pp.22-28, 2001.
  • X. Xia, A.M. Elaiw, “Optimal dynamic economic dispatch of generation: A review”, Elect. Power Syst. Res., vol.80, pp.975-986, 2010.
  • D. L. Travers and R. J. Kaye, “Dynamic dispatch by constructive dynamic programming”, IEEE Trans. Power Syst., vol.13, no.1, pp.72-78, 1998.
  • F. N. Lee, A. M. Breipohl, “Reserve constrained economic dispatch with prohibited operating zones”, IEEE Trans. Power Syst., vol.8, no.1, pp.246-254, 1993.
  • D. C. Walters, G. B. Sheble, “Genetic algorithm solution of economic dispatch with valve point loading”, IEEE Trans. Power Syst., vol.8, no.3, pp.1325-1332, 1993.
  • P. Venkatesh, R. Gnanadass, N. P. Padhy, “Comparison and application of evolutionary programming techniques to combined economic emission dispatch with line flow constraints”, IEEE Trans. Power Syst., vol.18, no.2, pp.688-697, 2003.
  • Z. -L. Gaing, et al. “Constrained dynamic economic dispatch solution using particle swarm optimization”, IEEE Power Eng. Soc. Gen. Meet., vol.1,pp.153–158, 2004.
  • R. H. Liang, “A Neural-based redispatch approach to dynamic generation allocation”, IEEE Trans. Power Syst., vol.14, no. 4, pp.388-1393. 1999.
  • F. Benhamida et al. “Generation allocation problem using a hopfield-bisection approach ıncluding transmission losses”, Elect. Power and energ. Syst., vol.33, no.5, pp.1165-1171. 2011.
  • S. Pothiya et al., “Application of multiple tabu search algorithm considering generator constraints”, Ener. Conv. Manag., vol.49, pp.506-5162, 2008. economic dispatch
  • P. H. Chen, H. C. Chang, “Large-scale economic dispatch by genetic algorithm”, IEEE Trans. Power Syst., vol. 10, no.4, pp.1919-1926, 1995.
  • J. M. Zurada, “Introduction to artificial neural network systems”, Jaiko Publishing house, Mumbai, 1996.
  • C.-T. Su, G.-J. Chiou, “An enhanced hopfield model for economic dispatch considering prohibited zones”, Elect. Power Syst. Res., vol.4, pp. 71-76, 1997.
Year 2012, Volume: 12 Issue: 1, 1464 - 1471, 02.09.2013

Abstract

References

  • X. S. Han, H. B. Gooi, D. S. Kirschen, “Dynamic economic dispatch: feasible and optimal solutions”, IEEE Trans. Power Syst., vol.16, no.1, pp.22-28, 2001.
  • X. Xia, A.M. Elaiw, “Optimal dynamic economic dispatch of generation: A review”, Elect. Power Syst. Res., vol.80, pp.975-986, 2010.
  • D. L. Travers and R. J. Kaye, “Dynamic dispatch by constructive dynamic programming”, IEEE Trans. Power Syst., vol.13, no.1, pp.72-78, 1998.
  • F. N. Lee, A. M. Breipohl, “Reserve constrained economic dispatch with prohibited operating zones”, IEEE Trans. Power Syst., vol.8, no.1, pp.246-254, 1993.
  • D. C. Walters, G. B. Sheble, “Genetic algorithm solution of economic dispatch with valve point loading”, IEEE Trans. Power Syst., vol.8, no.3, pp.1325-1332, 1993.
  • P. Venkatesh, R. Gnanadass, N. P. Padhy, “Comparison and application of evolutionary programming techniques to combined economic emission dispatch with line flow constraints”, IEEE Trans. Power Syst., vol.18, no.2, pp.688-697, 2003.
  • Z. -L. Gaing, et al. “Constrained dynamic economic dispatch solution using particle swarm optimization”, IEEE Power Eng. Soc. Gen. Meet., vol.1,pp.153–158, 2004.
  • R. H. Liang, “A Neural-based redispatch approach to dynamic generation allocation”, IEEE Trans. Power Syst., vol.14, no. 4, pp.388-1393. 1999.
  • F. Benhamida et al. “Generation allocation problem using a hopfield-bisection approach ıncluding transmission losses”, Elect. Power and energ. Syst., vol.33, no.5, pp.1165-1171. 2011.
  • S. Pothiya et al., “Application of multiple tabu search algorithm considering generator constraints”, Ener. Conv. Manag., vol.49, pp.506-5162, 2008. economic dispatch
  • P. H. Chen, H. C. Chang, “Large-scale economic dispatch by genetic algorithm”, IEEE Trans. Power Syst., vol. 10, no.4, pp.1919-1926, 1995.
  • J. M. Zurada, “Introduction to artificial neural network systems”, Jaiko Publishing house, Mumbai, 1996.
  • C.-T. Su, G.-J. Chiou, “An enhanced hopfield model for economic dispatch considering prohibited zones”, Elect. Power Syst. Res., vol.4, pp. 71-76, 1997.
There are 13 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

Farid Benhamıda

Abdelber Bendaoud This is me

Abdelghani Ayad1 This is me

Publication Date September 2, 2013
Published in Issue Year 2012 Volume: 12 Issue: 1

Cite

APA Benhamıda, F., Bendaoud, A., & Ayad1, A. (2013). A Deterministic Hopfield Model To Dynamic Economic Dispatch With Ramp Limit And Prohibited Zones. IU-Journal of Electrical & Electronics Engineering, 12(1), 1464-1471.
AMA Benhamıda F, Bendaoud A, Ayad1 A. A Deterministic Hopfield Model To Dynamic Economic Dispatch With Ramp Limit And Prohibited Zones. IU-Journal of Electrical & Electronics Engineering. September 2013;12(1):1464-1471.
Chicago Benhamıda, Farid, Abdelber Bendaoud, and Abdelghani Ayad1. “A Deterministic Hopfield Model To Dynamic Economic Dispatch With Ramp Limit And Prohibited Zones”. IU-Journal of Electrical & Electronics Engineering 12, no. 1 (September 2013): 1464-71.
EndNote Benhamıda F, Bendaoud A, Ayad1 A (September 1, 2013) A Deterministic Hopfield Model To Dynamic Economic Dispatch With Ramp Limit And Prohibited Zones. IU-Journal of Electrical & Electronics Engineering 12 1 1464–1471.
IEEE F. Benhamıda, A. Bendaoud, and A. Ayad1, “A Deterministic Hopfield Model To Dynamic Economic Dispatch With Ramp Limit And Prohibited Zones”, IU-Journal of Electrical & Electronics Engineering, vol. 12, no. 1, pp. 1464–1471, 2013.
ISNAD Benhamıda, Farid et al. “A Deterministic Hopfield Model To Dynamic Economic Dispatch With Ramp Limit And Prohibited Zones”. IU-Journal of Electrical & Electronics Engineering 12/1 (September 2013), 1464-1471.
JAMA Benhamıda F, Bendaoud A, Ayad1 A. A Deterministic Hopfield Model To Dynamic Economic Dispatch With Ramp Limit And Prohibited Zones. IU-Journal of Electrical & Electronics Engineering. 2013;12:1464–1471.
MLA Benhamıda, Farid et al. “A Deterministic Hopfield Model To Dynamic Economic Dispatch With Ramp Limit And Prohibited Zones”. IU-Journal of Electrical & Electronics Engineering, vol. 12, no. 1, 2013, pp. 1464-71.
Vancouver Benhamıda F, Bendaoud A, Ayad1 A. A Deterministic Hopfield Model To Dynamic Economic Dispatch With Ramp Limit And Prohibited Zones. IU-Journal of Electrical & Electronics Engineering. 2013;12(1):1464-71.