Adaptive selective cuckoo search algorithm for multi-objective short-term hydrothermal scheduling
Corressponding author's email:
trungthangttt@gmail.comKeywords:
Adaptive selective random walk, new selection technique, multi-objective, short-term hydrothermal scheduling, fitness functionAbstract
This research proposes an Adaptive Selective Cuckoo Search Algorithm (ASCSA) for solving the multi-objective short-term hydrothermal scheduling (MOSTHTS). The main objective of the MOSTHTS problem is to minimize both total power generation cost and emission of thermal generators over a scheduling period while satisfying power balance, hydraulic, and generator operating limit constraints. The proposed ASCSA method is developed for the problem based on improvements from the conventional CSA method to improve the optimal solution and speed up the computational process. The result comparisons from different test systems have indicated that the proposed method can obtain higher quality solution and shorter computational time than many other methods. Therefore, the proposed ASCSA method can be a new efficient method for solving multi-objective short-term HTS problem.
Downloads: 0
References
M. E. El-Hawary and J.K.Landrigan, Optimum operation of fixed-head hydro-thermal electric power systems: Powell's Hybrid Method Versus Newton-Raphson Method. IEEE Transactions on Power Apparatus and Systems, Vols. PAS-101, no. 3, pp. 547-554, March 1982.
B. W. A. Wood, "Power Generation, Operation and Control," New York: Wiley, 1996.
M. Basu, "A simulated annealing-based goal-attainment method for economic emission load dispatch of fixed head hydrothermal power systems," Electr Power and Ener Syst, vol. 27, no. 2, p. 147–153, 2005.
J. Sasikala and M. Ramaswamy, "PSO based economic emission dispatch for fixed head hydrothermal systems," Electr. Eng, vol. 94, no. 4, pp. 233-239, 2012.
M. Basu, "Economic environmental dispatch of fixed head hydrothermal power systems using nondominated sorting genetic algorithm-II," Applied Soft Computing, vol. 11, no. 3, pp. 3046-3055, 2011.
C. L. Chiang, "Optimal economic emission dispatch of hydrothermal power systems," Electr. Power and Ener Syst, vol. 29, no. 6, p. 462–469, 2007.
N. Narang, J. S. Dhillon and D. P. Kothari, "Multi-objective fixed head hydrothermal scheduling using integrated predator-prey optimization and Powell search method," Energy, vol. 47, no. 1, pp. 237-252, 2012.
Y. Li, H. He, Y. Wang, X. Xu and L. Jiao, "An improved Multi-objective estimation of distribution algorithm for environmental economic dispatch of hydrothermal power systems," Applied Soft Computing 28, pp. 559-568, 2015.
J. Dhillon, S. Parti and D. Kothari, "Fuzzy decision making in Multi-objective longterm scheduling of hydrothermal system," Int J Electrical Power Energy Syst, vol. 23, no. 1, pp. 19-29, 2001.
X. S. Yang and S. Deb., "Cuckoo search via Lévy flights," in Proc. World congress on nature & biologically inspired computing (NaBIC 2009), India, 2009, p. 210–214.
J. Momoh, X. Ma and K. Tomsovic, "Overview and literature survey of fuzzy set theory in power systems," IEEE Trans Power Syst, vol. 10, no. 3, p. 1676–90, 1995.
Downloads
Published
How to Cite
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Copyright © JTE.
