Title :
An Improved Genetic Algorithm for Optimal Operation of Cascaded Reservoirs
Author :
Li, Na ; Mei, Ya-dong
Abstract :
Based on the characteristics of optimal operation of cascaded hydropower stations, a mathematic model about the multistage optimization is established. In order to improve the capability of the traditional algorithm in optimal operation of cascaded reservoirs, Niche Genetic Algorithm (NGA) is suggested. This method could avoid the situation of GA convergence at a much earlier stage. The validity of improvement algorithm is testified by the solution of three classic functions. Finally it is successfully applied to the cascaded hydropower stations of the Qing River. The results show that NGA has not only better optimization capability, but also better accuracy. It is a superior non-linear optimal method which could locally search the global solution with greater probability.
Keywords :
Computational intelligence; Genetic algorithms; Hydroelectric power generation; Laboratories; Mathematical model; Optimal control; Power generation; Reservoirs; Security; Water resources;
Conference_Titel :
Computational Intelligence and Security, 2007 International Conference on
Conference_Location :
Harbin, China
Print_ISBN :
0-7695-3072-9
Electronic_ISBN :
978-0-7695-3072-7
DOI :
10.1109/CIS.2007.50