Optimal reservoir operation using a hybrid Simulated Annealing Algorithm-Genetic Algorithm

Author

Zhang, Yong-Yong ; Huang, Qiang ; Gao, Fan ; Sun, Xiao-Yi

Author_Institution

Key Lab. of Northwest Water Resources & Environ. Ecology of MOE, Xi´´an Univ. of Technol., Xi´´an, China

fYear

2010

fDate

23-26 Sept. 2010

Firstpage

454

Lastpage

458

Abstract

A hybrid Simulated Annealing Algorithm-Genetic Algorithm is used to study the optimal reservoir operation. Then compared with other three methods, such as Genetic Algorithm, POA, and traditional Dynamic Programming, the proposed algorithm has much stronger ability of global search as well as better convergence property and can find the global optimization solution quickly. It is showed that hybrid Simulated Annealing Algorithm-Genetic Algorithm is an effective optimal algorithm and can be applied to the reservoir operation.

Keywords

dispatching; genetic algorithms; reservoirs; simulated annealing; POA; convergence property; hybrid simulated annealing algorithm-genetic algorithm; inflow trend; optimal dispatching rule; optimal reservoir operation; traditional dynamic programming; Gallium; global optimization solution; optimal algorithm; optimal reservoir operation; simulated annealing algorithm-genetic algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on

Conference_Location

Changsha

Print_ISBN

978-1-4244-6437-1

Type

conf

DOI

10.1109/BICTA.2010.5645168

Filename

5645168