Genetic algorithm using to the solution of unit commitment
International Journal of Engineering Trends and Technology (IJETT) | |
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© 2013 by IJETT Journal | ||
Volume-4 Issue-7 |
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Year of Publication : 2013 | ||
Authors : Aditya Parashar , Kuldeep Kumar Swankar |
Citation
Aditya Parashar , Kuldeep Kumar Swankar. "Genetic algorithm using to the solution of unit commitment". International Journal of Engineering Trends and Technology (IJETT). V4(7):2986-2990 Jul 2013. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group.
Abstract
This paper presents for the solution of unit commitment and constrained p roblem by geneti c algorithm. The unit commitment word in power system using for deciding and planning for using generating unit according to load demand at particular hour and any time. Genetic algorithm is an evolutionary algorithm which works on the principle of natural selection like "survival of fittest". In the case study 5 power generating units system for 24 hour period of cycle. The aim of this paper is detract the total production cost including all constraints, and generate a system for economically use of power generating unit.
References
1 M.Sudhakaran,P.Ajay - D - Vimal Raj ‘Integrating genetic algorithms and tabu search for unit commitment problem ‘,IJEST Vol.2,no.1,2010,pp.57 - 69.
[2] Jorge Valenzuela &AliceE.Smith ‘A seeded memetic for larg unit commitment problem’.
[3] Varying F itness Functions in Genetic Algorithm Constrained Optimization: TheCutting Stock and Unit Commitment Problems by Vassilios Petridis, Member, IEEE , Spyros Kazarlis, and Anastasios Bakirtzis, Senior Member, IEEE. IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNE TICS — PART B: CYBERNETICS, VOL. 28, NO. 5, OCTOBER 1998.
[4] J. H. Holland, Adaptation in Natural and Artificial Systems. AnnArbor, MI: Univ. Michigan Press, 1975
[5] Handlin constrained in genetic algorithm by zbigniew Michalewicz, Cezeary Z. Janikow
[6] D. E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning. Reading, MA: Addison Wesly,1989
[7] Structured Genetic Algorithm Technique for Unit Commitment Problem by Kaveh Abookazemi*, Mohd Wazir Mustafa, Hussein Ahmad International Journal of Recent Trends in Engineering, Vol 1, No. 3, May 2009
[8] Dynamic Programming Approach for Large Scale Unit Commitment Problem by Prateek Kumar Singhal and R. Naresh Sharma , 2011 International Conference on Communication Systems and Network Techn ologies .
[9] S. A. Kazarlis, A. G. Bakirtzis, and V. Petridis, “A genetic algorithmsolution to the unit commitment problem,” IEEE Transaction onPower System, vol. 11, pp. 83 – 92, Feburary 1996
[10] Principle of soft computing second edition by S.N.Sivanandam & S.N.Deepa Wiley India .
[11]Wood, A. J. and B. F. Wollenberg, Power Generation, Operation, and Control , John Wiley &Sons, Inc., 1996
[12] Neural network, Fuzzy logic and Genetic algorithms, S.rajasekaran, G.A.Vijayalakshmi Pai, PHI. INDIA.
Keywords
unit commitment problem, genetic algorithm, power system, constrained problem.