Economic Emission Load Dispatch by Modified Shuffled Frog Leaping Algorithm

International Journal of Computer Applications
© 2011 by IJCA Journal
Number 1 - Article 1
Year of Publication: 2011
A. Srinivasa Reddy
K. Vaisakh

Srinivasa A Reddy and K Vaisakh. Article:Economic Emission Load Dispatch by Modified Shuffled Frog Leaping Algorithm. International Journal of Computer Applications 31(11):35-42, October 2011. Full text available. BibTeX

	author = {A. Srinivasa Reddy and K. Vaisakh},
	title = {Article:Economic Emission Load Dispatch by Modified Shuffled Frog Leaping Algorithm},
	journal = {International Journal of Computer Applications},
	year = {2011},
	volume = {31},
	number = {11},
	pages = {35-42},
	month = {October},
	note = {Full text available}


This paper presents a newly developed optimization approach involving a modified shuffled frog leaping algorithm (MSFLA) applied for the solution of the economic emission load dispatch (EELD) problem. The approach utilizes the local search strategies for searching global solution. MSFLA is developed on the same frame work of shuffled frog leaping algorithm (SFLA). In this proposed algorithm, a search-acceleration parameter is introduced. To obtain the best compromising solution a pareto–optimal decision making approach is applied to a standard IEEE 30-bus six generator test system. The results confirm the potential and effectiveness of the proposed algorithm compared to various methods performed. The quality and usefulness of the proposed algorithm are demonstrated through its application to a standard test system in comparison with the other existing techniques. The current proposal was found to be better than, or at least comparable to them considering the quality of the solutions obtained. The MSFLA algorithm appears to be a robust and reliable optimization algorithm for the solution of the power system problems.


  • El-Keib A.A., Ma H., Hart J.L. “Economic Dispatch in View of the Clean Air Act of 1990”, IEEE Transactions on Power System, vol.9, No.2, May 1994, pp. 972–979.
  • Talaq JH, El-Hawary F, El-Hawary ME. “A Summary of Environmental/Economic Dispatch Algorithms”, IEEE Transactions on Power System, vol. 9, No. 3, Aug. 1994, pp. 1508–1514.
  • Dhillon JS, Parti SC, Kothari DP. “Stochastic economic emission load dispatch”. Electric Power System Research, vol.26, No.3, Apr. 1993, pp. 179–186.
  • Chang CS, Wong KP, Fan B. “Security-constrained multiobjective generation dispatch using bicriterion global optimization” IEE Proceeding – Generation Transmission Distribution, vol. 142, No.4, Jul. 1995, pp.406–414.
  • Yokoyama R, Bae SH, Morita T, Sasaki H. “Multiobjective generation dispatch based on probability security criteria”. IEEE Transactions on Power System, vol.3, No.1, Feb. 1988, pp.317–324.
  • Hsiao YT, Chiang HD, Liu CC, Chen YL. “A computer package for optimal multiobjective VAR planning in large scale power systems”. IEEE Transactions on Power System, vol. 9, No.2, May.1994, pp.668–676.
  • Granelli GP, Montagna M, Pasini GL, Marannino P. “Emission Constrained Dynamic Dispatch”, Electric Power Systems Research, vol. 24, No.1, Jul. 1992, pp.56–64.
  • Nanda J, Kothari DP, Linga Murthy KS. “Economic emission load dispatch through goal programming techniques”, IEEE Transactions on Energy Conversion vol. 3, No.1, Mar. 1988, pp. 26–32.
  • Nanda J, Lakshman H, Kothari ML. “Economic emission load dispatch with line flow constraints using a classical technique”, IEE Proceedings-Generation Transmission Distribution, vol.141, No.1, Jan. 1994, pp. 1–10.
  • Farag A, Al-Baiyat S, Cheng TC. “Economic load dispatch multiobjective optimization procedures using linear programming techniques”. IEEE Transactions on Power System, vol.10, No.2, May1995, pp.731–738.
  • Fonseca C M, Fleming P J. An overview of evolutionary algorithms in multiobjective optimization. Evolutionary Computation, vol.3, No.1, spring, 1995, pp.1–16.
  • Coello CAC. A comprehensive survey of evolutionary-based multiobjective optimization techniques. Knowledge Inform Syst vol.1, No.3, 1999, pp.269–308.
  • Abido MA. Multiobjective evolutionary algorithms for electric power dispatch problem. IEEE Transactions on Evolutionary Computation, vol.10, No.3, Jun.2006, pp.315–29.
  • Srinivasan D, Tettamanzi A. An evolutionary algorithm for evaluation of emission compliance options in view of the clean air act amendments. IEEE Transactions on Power System, vol.12, No.1, Feb. 1997, pp.152–8.
  • Das DB, Patvardhan C. New multi-objective stochastic search technique for economic load dispatch. IEE Proc – Generation Transmission Distribution, vol.145, No.6, Nov. 1998, pp.747–752.
  • Perez-Guerrero R E, Cedeno-Maldonado J R. “Differential evolution based economic environmental power dispatch”. IEEE Power Symposium,. Proceedings of the 37th Annual North American October 23-25, 2005, pp.191–197.
  • P.K. Hota, A.K. Barisal, R. Chakrabarti, “Economic emission load dispatch through fuzzy based bacterial foraging algorithm”, Electrical Power & Energy Systems, vol. 32, No. 7, Sept. 2010, pp. 794-803
  • Agrawal S, Panigrahi BK, Tiwari MK. “Multiobjective particle swarm algorithm with fuzzy clustering for electrical power dispatch” IEEE Transactions on Evolutionary Computation, vol.12 No.5, Oct.2008 pp.529–541.
  • Eusuff M.M., Lansey K.E., Pasha F., “Shuffled Frog-Leaping Algorithm: A Memetic Meta-heuristic for Discrete Optimization”, Engineering Optimization vol.38, No.2, Mar. 2006, pp. 129–154.
  • Emad Elbeltagi, Tarek Hegazy And Donald Grierson, “A modified shuffled frog-leaping optimization algorithm: applications to project management”, Structure and Infrastructure Engineering, vol. 3, No. 1, Mar. 2007, pp.53 – 60.