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Mathematical Problems in Engineering
Volume 2013 (2013), Article ID 982305, 7 pages
http://dx.doi.org/10.1155/2013/982305
Research Article

Hybrid DE-SQP Method for Solving Combined Heat and Power Dynamic Economic Dispatch Problem

1Department of Mathematics, Faculty of Science, King Abdulaziz University, P.O. Box 80203, Jeddah 21589, Saudi Arabia
2Department of Mathematics, Faculty of Science, Al-Azhar University, Assiut 71511, Egypt
3Centre of New Energy Systems, Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria 0002, South Africa

Received 19 June 2013; Accepted 25 August 2013

Academic Editor: Carla Roque

Copyright © 2013 A. M. Elaiw et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. A. Vasebi, M. Fesanghary, and S. M. T. Bathaee, “Combined heat and power economic dispatch by harmony search algorithm,” International Journal of Electrical Power and Energy Systems, vol. 29, no. 10, pp. 713–719, 2007. View at Publisher · View at Google Scholar · View at Scopus
  2. P. Subbaraj, R. Rengaraj, and S. Salivahanan, “Enhancement of combined heat and power economic dispatch using self adaptive real-coded genetic algorithm,” Applied Energy, vol. 86, no. 6, pp. 915–921, 2009. View at Publisher · View at Google Scholar · View at Scopus
  3. T. Guo, M. I. Henwood, and M. van Ooijen, “An algorithm for combined heat and power economic dispatch,” IEEE Transactions on Power Systems, vol. 11, no. 4, pp. 1778–1784, 1996. View at Publisher · View at Google Scholar · View at Scopus
  4. A. Sashirekha, J. Pasupuleti, N. H. Moin, and C. S. Tan, “Combined heat and power (CHP) economic dispatch solved using Lagrangian relaxation with surrogate subgradient multiplier updates,” International Journal of Electrical Power & Energy Systems, vol. 44, pp. 421–430, 2013. View at Publisher · View at Google Scholar
  5. A. M. Jubril, A. O. Adediji, and O. A. Olaniyan, “Solving the combined heat and power dispatchproblem: a semi-definite programming approach,” Power Component Systems, vol. 40, pp. 1362–1376, 2012. View at Publisher · View at Google Scholar
  6. V. N. Dieu and W. Ongsakul, “Augmented lagrangehopfield network for economic load dispatch with combined heat and power,” Electric Power Components and Systems, vol. 37, no. 12, pp. 1289–1304, 2009. View at Publisher · View at Google Scholar · View at Scopus
  7. E. Khorram and M. Jaberipour, “Harmony search algorithm for solving combined heat and power economic dispatch problems,” Energy Conversion and Management, vol. 52, no. 2, pp. 1550–1554, 2011. View at Publisher · View at Google Scholar · View at Scopus
  8. C.-T. Su and C.-L. Chiang, “An incorporated algorithm for combined heat and power economic dispatch,” Electric Power Systems Research, vol. 69, no. 2-3, pp. 187–195, 2004. View at Publisher · View at Google Scholar · View at Scopus
  9. Y. H. Song, C. S. Chou, and T. J. Stonham, “Combined heat and power economic dispatch by improved ant colony search algorithm,” Electric Power Systems Research, vol. 52, no. 2, pp. 115–121, 1999. View at Publisher · View at Google Scholar · View at Scopus
  10. S. S. Sadat Hosseini, A. Jafarnejad, A. H. Behrooz, and A. H. Gandomi, “Combined heat and power economic dispatch by mesh adaptive direct search algorithm,” Expert Systems with Applications, vol. 38, no. 6, pp. 6556–6564, 2011. View at Publisher · View at Google Scholar · View at Scopus
  11. M. Behnam, M. Mohammad, and R. Abbas, “Combined heat and power economic dispatch problem solution using particle swarm optimization with time varying acceleration coefficients,” Electric Power Systems Research, vol. 95, pp. 9–18, 2013. View at Publisher · View at Google Scholar
  12. V. Ramesh, T. Jayabarathi, N. Shrivastava, and A. Baska, “A novel selective particle swarm optimization approach for combined heat and power economic dispatch,” Electric Power Components and Systems, vol. 37, no. 11, pp. 1231–1240, 2009. View at Publisher · View at Google Scholar · View at Scopus
  13. M. Basu, “Artificial immune system for combined heat and power economic dispatch,” International Journal of Electrical Power & Energy Systems, vol. 43, pp. 1–5, 2012. View at Publisher · View at Google Scholar
  14. K. P. Wong and C. Algie, “Evolutionary programming approach for combined heat and power dispatch,” Electric Power Systems Research, vol. 61, no. 3, pp. 227–232, 2002. View at Publisher · View at Google Scholar · View at Scopus
  15. B. Bahmani-Firouzi, E. Farjah, and A. Seifi, “A new algorithm for combined heat and power dynamic economic dispatch considering valve-point effects,” Energy, vol. 52, pp. 320–332, 2013. View at Publisher · View at Google Scholar
  16. X. Xia and A. M. Elaiw, “Optimal dynamic economic dispatch of generation: a review,” Electric Power Systems Research, vol. 80, no. 8, pp. 975–986, 2010. View at Publisher · View at Google Scholar · View at Scopus
  17. P. Attaviriyanupap, H. Kita, E. Tanaka, and J. Hasegawa, “A hybrid EP and SQP for dynamic economic dispatch with nonsmooth fuel cost function,” IEEE Transactions on Power Systems, vol. 17, no. 2, pp. 411–416, 2002. View at Publisher · View at Google Scholar · View at Scopus
  18. A. M. Elaiw, X. Xia, and A. M. Shehata, “Application of model predictive control to optimal dynamic dispatch of generation with emission limitations,” Electric Power Systems Research, vol. 84, no. 1, pp. 31–44, 2012. View at Publisher · View at Google Scholar · View at Scopus
  19. T. Niknam, R. Azizipanah-Abarghooee, A. Roosta, and B. Amiri, “A new multi-objective reserve constrained combined heat and power dynamic economic emission dispatch,” Energy, vol. 42, no. 1, pp. 530–545, 2012. View at Publisher · View at Google Scholar · View at Scopus
  20. R. Storn and K. Price, “Differential evolution—a simple and efficient heuristic for global optimization over continuous spaces,” Journal of Global Optimization, vol. 11, no. 4, pp. 341–359, 1997. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet
  21. M. Basu, “Combined heat and power economic dispatch by using differential evolution,” Electric Power Components and Systems, vol. 38, no. 8, pp. 996–1004, 2010. View at Publisher · View at Google Scholar · View at Scopus
  22. A. M. Elaiw, X. Xia, and A. M. Shehata, “Dynamic economic dispatch using hybrid DE-SQP for generating units with valve-point effects,” Mathematical Problems in Engineering, vol. 2012, Article ID 184986, 10 pages, 2012. View at Publisher · View at Google Scholar
  23. A. M. Elaiw, X. Xia, and A. M. Shehata, “Hybrid DE-SQP and hybrid PSO-SQP methods for solvin dynamic economic emission dispatch problem with valve-point effects,” Electric Power Systems Research, vol. 84, pp. 192–200, 2013. View at Google Scholar
  24. X. Xia, J. Zhang, and A. Elaiw, “An application of model predictive control to the dynamic economic dispatch of power generation,” Control Engineering Practice, vol. 19, no. 6, pp. 638–648, 2011. View at Publisher · View at Google Scholar · View at Scopus
  25. A. M. Elaiw, X. Xia, and A. M. Shehata, “Minimization of fuel costs and gaseous emissions of electric power generation by model predictive control,” Mathematical Problems in Engineering, vol. 2013, Article ID 906958, 15 pages, 2013. View at Google Scholar · View at MathSciNet
  26. C. K. Panigrahi, P. K. Chattopadhyay, R. N. Chakrabarti, and M. Basu, “Simulated annealing technique for dynamic economic dispatch,” Electric Power Components and Systems, vol. 34, no. 5, pp. 577–586, 2006. View at Publisher · View at Google Scholar · View at Scopus
  27. M. Basu, “Dynamic economic emission dispatch using nondominted sorting genetic algorthim-II,” International Journal of Electrical Power & Energy Systems, vol. 30, no. 2, pp. 140–149, 2008. View at Publisher · View at Google Scholar
  28. P. T. Boggs and J. W. Tolle, “Sequential quadratic programming,” Acta Numerica, vol. 3, no. 4, pp. 1–52, 1995. View at Google Scholar