Economical Operation of Hydro-Thermal Power System based on Multi-path Adaptive Tabu Search
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32797
Economical Operation of Hydro-Thermal Power System based on Multi-path Adaptive Tabu Search

Authors: J. Kluabwang

Abstract:

An economic operation scheduling problem of a hydro-thermal power generation system has been properly solved by the proposed multipath adaptive tabu search algorithm (MATS). Four reservoirs with their own hydro plants and another one thermal plant are integrated to be a studied system used to formulate the objective function under complicated constraints, eg water managements, power balance and thermal generator limits. MATS with four subsearch units (ATSs) and two stages of discarding mechanism (DM), has been setting and trying to solve the problem through 25 trials under function evaluation criterion. It is shown that MATS can provide superior results with respect to single ATS and other previous methods, genetic algorithms (GA) and differential evolution (DE).

Keywords: Hydro-thermal scheduling problem, economic dispatch, adaptive tabu search, multipath adaptive tabu search

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1056336

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1650

References:


[1] M.E. El-Hawary and G.S. Christensen, Optimal Economic Operation of Electric Power Systems. Academic press, New York, 1979.
[2] S.O. Orero and M.R. Irving, "A genetic algorithm modeling framework and solution technique for short term optimal hydrothermal scheduling," IEEE Trans. Power Systems, vol. 13, pp. 501-517, May 1998.
[3] F. Glover, "Tabu search-part I", ORSA Journal on Computing, vol. 1, no. 3, pp.190-206, 1989.
[4] S. Sujitjorn, T. Kulworawanichpong, D. Puangdownreong and K.-N. Areerak, "Adaptive tabu search and applications in engineering design," in Frontiers in Artificial Intelligent and Applications, vol. 149, X.-F. Zha and R.J. Howlett, Ed. Amsterdam, IOS Press, 2006, pp.233-257.
[5] J. Kluabwang, D. Puangdownreong and S. Suijtjorn, " Multipath adaptive tabu search for a vehicle control problem," Journal of Applied Mathematics, vol. 2012, id.731623, pp.1-20, Feb. 2012.
[6] URL: http:// http://cec2011.org/competitions.html
[7] S. Elsayed, R. Sarker and D. Essam, "GA with a new multi-parent crossover for solving IEEE-CEC2011 competition problem," in 2011 IEEE Congress on Evolutionary Computation, pp. 1034-1040.
[8] S. Elsayed, R. Sarker and D. Essam, "Differential evolution with multiple strategies for solving CEC2011 real-world numerical optimization problems," in 2011 IEEE Congress on Evolutionary Computation, pp. 1041-1048.