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ECONOMIC POWER DISPATCH USING THE COMBINATION OF TWO GENETIC ALGORITHMS

Journal Name:

  • Istanbul University Journal of Electrical & Electronics Engineering

Publication Year:

  • 2006

Key Words:

Author Name
Abstract (2. Language): 
Lately, one notices an increase in the applications of the genetic algorithms (GA) through several fields, and one noted that all the utilisateurs(exploiteurs) these algorithms wonder on the choice of the values of the genetic operators in order to increase the performances of the algorithm. The objective of this article tries to solve this problem, by using two genetic algorithms one to determine the values of the genetic operators and the other to optimize the function cost. Numerical results on a test system consisting of 13 thermal units show that the proposed approach has an ability to find the better solutions than the conventional genetic algorithm.
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  • 1
175-181
  • English

REFERENCES

References: 

[1] R. Fletcher, ” Practical Methods of Optimisation”, John Willey & Sons, 1986.
[2] M. Rahli, “Applied Linear and Nonlinear Programming to Economic Dispatch”, Ph.D. Thesis, Electrical Institute, USTO, Oran, Algeria, 1996.
[3] G.W. Stagg and A.H. E1 Abiadh.” Computer Methods in Power System
Analysis” McGraw–Hill Book Company, New York (1968).
[4] D.M. Himmelblau. In: “Applied Non Linear Programming ” McGraw– Hill, New York (1972).
[5] M. Younes, M. Rahli and A. koridak., ”Dispatching Economique par l’intelligence Artificielle ”, Proceeding ICEL’2005,U.S.T. Oran, Algeria, Vol.02, pp.16-21,13-15 November 2005.
[6] Holand, J. H, " Adaptation in natural and Artificial Systems. " The university of Michigan press, Ann Arbor, USA, 1975.
[7] D. E. Goldberg ” Genetic Algorithms in Search, Optimization and Machine Learning”, Addison Wesley Publishing Company, Ind. USA, 1989.
Mimoun YOUNES, Mostafa RAHLI
Economic Power Dispatch Using The Combination Of Two Genetic Algorithms
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[8] T. B¨ack, F. Ho_meister, and H.-P. Schwefel. A survey of Evolution Strategies. In R. Belew and L. Booker, editors, Proceedings of the fourth international conference on genetic algorithms, pages 2-9. Morgan Kaufmann: San Mateo, CA, 1991.
[9] L. Lai, J. T. Ma, R. Yokoma, M. Zhao ” Improved genetic algorithms for optimal power flow under both normal and contingent operation states” Electrical Power & Energy System, Vol. 19, N.5, pp. 287-292, 1997.
[10] B. S. Chen, Y. M. Cheng, C. H. Lee, ” A Genetic Approach to Mixed H2/H00 Optimal PID Control ”, IEEE Control system, pp. 551-59, October 1995
[11]M.Younes, M.Rahli: La Répartition Optimale des puissances en utilisant l’algorithme génétique,ICEEE’2004, Laghouat, April, 24-26, 2004
[12]N. Sinha, R. Chakrabarti, and P. K. Chattopadhyay: Evolutionary programming techniques for economic load dispatch. IEEE Trans. Evol. Comput., vol. 7, no. 1, pp. 83–94, Feb. 2003.
[13]M.Younes, M.Rahli, H Koridak : Genetic/ Evolutionary Algorithms and application to power systems, PCSE’05, O. E. Bouaghi, May 9-11, Univ, Algeria, 2005.
[14] Wong K.P., Wong Y.W., Genetic and genetic/simulated-annealing approaches to economic dispatch, IEE Proc. 141 (5) (1994) 507_/513. Mimoun YOUNES,

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