A hybrid chaotic genetic algorithm for short-term hydro system scheduling. (English) Zbl 1030.90040

Summary: This paper proposes a novel hybrid chaotic genetic algorithm to solve the short-term generation scheduling of hydro system. The integration of chaotic sequence and genetic algorithm with a new self-adaptive error back-propagation mutation operator are developed, which can overcome premature and increase the convergence speed. Simulation results have demonstrated that the proposed approach is feasible and effective for the applications.


90B35 Deterministic scheduling theory in operations research
90C90 Applications of mathematical programming
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[1] Christiano, L.; Luiz, R., A multiobjective approach to the short-term scheduling of a hydroelectric power system, IEEE trans. PAS, 10, 4, 1750-1754, (1995)
[2] Papageorgiou, M., Optimal multi reservoir network control by the discrete maximum principle, Water resources res., 21, 2, 1824-1830, (1985)
[3] Piekutowski, M.R.; Litwinowicz, T.; Frowd, R.J., Optimal short-term scheduling for a large-scale cascaded hydro system, IEEE trans. PAS, 9, 2, 805-811, (1994)
[4] Xia, Q.; Xiang, N.; Wang, S.; Zhang, B.; Huang, M., Optimal daily scheduling of cascaded plants using a new algorithm of non-linear minimum cost network flow concept, IEEE trans. PWRS, 3, 3, 929-935, (1988)
[5] Habibollahzadeh, H.; Bubenko, J.A., Application of decomposition techniques to short term operation planning of hydro-thermal power system, IEEE trans. PWRS, 1, 1, 41-47, (1986)
[6] Soliman, S.A.; Christensen, G.S., Application of functional analysis to optimization of variable head multi reservoir power system for long term regulation, Water resources res., 22, 6, 852-858, (1986)
[7] Ernan, N.; Xiaohong, G.; Renhou, L., Scheduling hydrothermal power systems with cascaded and head-dependent reservoirs, IEEE trans. PAS, 14, 3, 1127-1132, (1999)
[8] Naresh, R.; Sharma, J., Hydro system scheduling using ANN approach, IEEE trans. PAS, 15, 1, 388-395, (2000)
[9] Orero, S.O.; Irving, M.R., A genetic algorithm modeling framework and solution technique for short term optimal hydrothermal scheduling, IEEE trans. PAS, 13, 2, 501-518, (1998)
[10] Doo-Hyun, C.; Se-Young, O., A new mutation rule for evolutionary programming motivated from backpropagation learning, IEEE trans. evol. comput., 4, 2, 188-190, (2000)
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