NDLI: An Improved Genetic Algorithm for Optimal Operation of Cascaded Reservoirs

Content Provider	IEEE Xplore Digital Library
Author	Li, Na Mei, Ya-dong
Copyright Year	2007
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.
Starting Page	110
Ending Page	113
File Size	567341
Page Count	4
File Format	PDF
ISBN	0769530729
e-ISBN	9780769530727
DOI	10.1109/CIS.2007.50
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-12-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Laboratories Hydroelectric power generation Optimal control Reservoirs Mathematical model Security Power generation Computational intelligence Water resources Genetic algorithms
Content Type	Text
Resource Type	Article

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An Improved Genetic Algorithm for Optimal Operation of Cascaded Reservoirs