105
Views
11
CrossRef citations to date
0
Altmetric
Articles

Implementation of imperialist competitive algorithm to solve non-convex economic dispatch problem

, , , &
Pages 232-242 | Received 08 Aug 2011, Accepted 04 Jun 2012, Published online: 28 Jan 2013

References

  • Atashpaz-Gargari, E., 2007. Developing a socially inspired optimization strategy and investigating its efficiency. Thesis (Master). Department of Electrical Engineering, University of Tehran.
  • Atashpaz-Gargari, E., and Lucas, C., 2007. Imperialist competitive algorithm: an algorithm for optimization inspired by imperialistic competition. In: Proceeding of IEEE congress on evolutionary computation, 25–28 September 2007 Singapore. Piscataway, NJ, USA: Institute of Electrical and Electronics Engineers (IEEE), 4661–4667.
  • Atashpaz-Gargari, E. 2008. “Colonial competitive algorithm a novel approach for PID controller design in MIMO distillation column process.” International journal of intelligent computing and cybernetics 1(3): 337–355.
  • Bagher, M., M. Zandieh, and H. Farsijani. 2011. “Balancing of stochastic U-type assembly lines: an imperialist competitive algorithm.” International journal of advanced manufacturing technology 54(1): 271–285.
  • Biabangard-Oskouyi, A., E. Atashpaz-Gargari, N. Soltani, and C. Lucas. 2009. “Application of imperialist competitive algorithm for materials property characterization from sharp indentation test.” International journal of engineering simulation 10(1): 1–8.
  • Chaturvedi, K. T., M. Pandit, and L. Srivastava. 2008. “Self-organizing hierarchical particle swarm optimization for non-convex economic dispatch.” IEEE transactions on power systems 23(3): 1079–1087.
  • Chen, P. H., and H. C. Chang. 1995. “Large-scale economic dispatch by genetic algorithm.” IEEE transactions on power systems 10(4): 1919–1926.
  • Chen, C. H., and S. N. Yeh. 2009. “Dynamics of personal best oriented particle swarm optimizer.” Journal of the Chinese institute of engineers 32(2): 265–276.
  • Chiang, C. L. 2005. “Improved genetic algorithm for power economic dispatch of units with valve-point effects and multiple fuels.” IEEE transactions on power systems 20(4): 1690–1699.
  • Duan, H., H. Xu, S. Liu, and S. Shao. 2009. “Template matching using chaotic imperialist competitive algorithm.” Pattern recognition letters 39(6): 1362–1381.
  • Gaing, Z. L. 2003. “Particle swarm optimization to solving the economic dispatch considering the generator constraints.” IEEE transactions on power systems 18(3): 1187–1195.
  • Hou, Y.H., Wu, Y.W., Lu, L.J., Xiong, X.Y., 2002. Generalized ant colony optimization for economic dispatch of power systems. In: Proceedings of international conference on power system technology, 13–17 October 2002 Kunming, China. Piscataway, NJ, USA: Institute of Electrical and Electronics Engineers (IEEE), 225–229.
  • Jalilvand, A., Behzadpoor, S., and Hashemi, M., 2010. Imperialist competitive algorithm-based design of PSS to improve the power system. In: Proceedings joint international conference on power electronics, drives and energy systems (PEDES), 20–23 December 2010 India. Piscataway, NJ, USA: Institute of Electrical and Electronics Engineers (IEEE), 1–5.
  • Jayabarathi, T., and G. Sadasivam. 2000. “Evolutionary programming-based economic dispatch for units with multiple fuel options.” European transactions on electrical power 10(3): 167–170.
  • Joned, A.M.A.A., Musirin, I., and Titik Khawa, A.R., 2006. Solving dynamic economic dispatch using evolutionary programming. In: Proceedings IEEE, power and energy conference, 28–29 November 2006 Putra Jaya, Malaysia. Piscataway, NJ, USA: Institute of Electrical and Electronics Engineers (IEEE), 144–149.
  • Lee, K. Y., A. Sode-Yome, and J. H. Park. 1998. “Adaptive hopfield neural network for economic load dispatch.” IEEE transactions on power systems 13(2): 519–526.
  • Lin, W. M., F. S. Cheng, and M. T. Tsay. 2002. “An improved tabu search for economic dispatch with multiple minima.” IEEE transactions on power systems 17(1): 108–112.
  • Lin, W. M., H. J. Gow, and M. T. Tsai. 2011. “Combining of direct search and signal-to-noise ratio for economic dispatch optimization.” Energy conversion management 52(1): 487–493.
  • Mahor, A., V. Prasad, and S. Rangnekar. 2009. “Economic dispatch using particle swarm optimization: a review.” Renewable and sustainable energy reviews 13(8): 2134–2141.
  • Neyestani, M., M. M. Farsangi, and H. Nezamabadi-pour. 2010. “A modified particle swarm optimization for economic dispatch with nonsmooth cost functions.” Engineering applications of artificial intelligence 23(7): 1121–1126.
  • Orero, S. O., and M. R. Irving. 1996. “Economic dispatch of generators with prohibited operating zones: a genetic algorithm approach.” IEE proceedings, generation, transmission and distribution 143(6): 529–534.
  • Park, J. H., Y. S. Kim, I. K. Eom, and K. Y. Lee. 1993. “Economic load dispatch for piecewise quadratic cost function using hopfield neural network.” IEEE transactions on power systems 8(3): 1030–1038.
  • Park, J. B., et al. 2005. “A particle swarm optimization for economic dispatch with nonsmooth cost functions.” IEEE transactions on power systems 20(1): 34–42.
  • Rafiee, Z., Ganjefar, S., and Fattahi, A., 2010. A new PSS tuning technique using ICA and PSO methods with the fourier transform. In: Proceedings of the 18th Iranian conference on electrical engineering (ICEE), 11–13 May 2010 Isfahan, Iran. Piscataway, NJ, USA: Institute of Electrical and Electronics Engineers (IEEE), 806–811.
  • Rajabioun, R., Hashemzadeh, F., Atashpaz-Gargari, E., Mesgari, B., Rajaei Salmasi, F., 2008. Identification of a MIMO evaporator and its decentralized PID controller tuning using colonial competitive algorithm. In: Proceedings of the 17th world congress, the international federation of automatic control, 6–11 July 2008. Seoul, South Korea: International Federation of Automatic Control, 9952–9957.
  • Selvakumar, A. I., and K. Thanushkodi. 2007. “A new particle swarm optimization solution to non-convex economic dispatch problems.” IEEE transactions on power systems 22(1): 42–51.
  • Sinha, N., R. Chakrabarti, and P. K. Chattopadhyay. 2003. “Evolutionary programming techniques for economic load dispatch.” IEEE transactions on evolutionary computation 7(1): 83–94.
  • Sumim, T., 2004. Economic dispatch by ant colony search algorithm. In: Proceedings IEEE conference on cybernetics and intelligent systems, 1–3 December 2004 Singapore. Piscataway, NJ, USA: Institute of Electrical and Electronics Engineers (IEEE), 416–421.
  • Talatahari, S., B. Farahmand Azar, A. H. Gandomi, and S. Talatahari. 2011. “Imperialist competitive algorithm combined with chaos for global optimization.” Communications in nonlinear science and numerical simulations 17(3): 1312–1319.
  • Walters, C., and G. B. Sheble. 1993. “Genetic algorithm solution of economic dispatch with valve point loading.” IEEE transactions on power systems 8(3): 1325–1331.
  • Wong, K. P., and C. C. Fung. 1993. “Simulated annealing based economic dispatch algorithm.” IEE proceedings, generation, transmission and distribution 140(6): 509–515.
  • Wong, K. P., and Y. W. Wong. 1994. “Genetic and genetic/simulated annealing approaches to economic dispatch.” IEE proceedings, generation, transmission and distribution 141(5): 507–513.
  • Wood, A. J., and B. F. Wollenberg. 1984. Power generation, operation and control. New York, NY: Wiley.
  • Yalcinoz, T., Altun, H., and Hasan, U., 2000. Constrained economic dispatch with prohibited operating zones: a hopfield neural network approach. In: Proceedings IEEE 10th Mediterranean electrotechnical conference, 29–31 May 2000 Lemesos, Cyprus. Piscataway, NJ, USA: Institute of Electrical and Electronics Engineers (IEEE), 570–573.
  • Yang, H. T., P. C. Yang, and C. L. Huang. 1996. “Evolutionary programming based economic dispatch for units with non-smooth fuel cost functions.” IEEE transactions on power systems 11(1): 112–118.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.