Economical Operation of Hydro-Thermal Power System based on Multi-path Adaptive Tabu Search

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).

Authors:

• J. Kluabwang

Keywords:

• Hydro-thermal scheduling problem
• economic dispatch
• adaptive tabu search
• multipath adaptive tabu search

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.