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).
[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.
[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.
@article{"International Journal of Electrical, Electronic and Communication Sciences:51173", author = "J. Kluabwang", title = "Economical Operation of Hydro-Thermal Power System based on Multi-path Adaptive Tabu Search", 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", volume = "6", number = "5", pages = "481-3", }