Tinghong Zhao
School of Energy and power Engineer,Lanzhou University of Technology, 730050, Lanzhou, China
Zibin Man
Library, Lanzhou University of Technology, 730050, Lanzhou, China
Yu Wang
School of Energy and power Engineer,Lanzhou University of Technology, 730050, Lanzhou, China
ABSTRACT
The optimal operation of cascade hydropower stations is a high dimension, non-protruding, dispersed, non-linear dynamic optimization question, at present, though the researchers have put forward some methods to solve this question but always there are certain defects during the process of solving. This study analyses the characteristic of the niche genetic algorithm, direct against the question that the traditional niche genetic algorithm exists, improve the niche genetic algorithm, has proposed a kind of self-adaptation niche genetic algorithm with predator and applied it to solve the problem of cascade hydropower stations optimal operation that the result of the example shows, this algorithm can well solve the optimal operation problem of cascade hydropower stations which has high speed of operation and precision of solution.
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How to cite this article
Tinghong Zhao, Zibin Man and Yu Wang, 2013. Research of Cascaded Hydropower Stations Short-time Optimize Dispatcher Based on Improvement A-NGA. Information Technology Journal, 12: 4838-4844.
DOI: 10.3923/itj.2013.4838.4844
URL: https://scialert.net/abstract/?doi=itj.2013.4838.4844
DOI: 10.3923/itj.2013.4838.4844
URL: https://scialert.net/abstract/?doi=itj.2013.4838.4844
REFERENCES
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Direct Link - Fu, X.W., X.G. Gao and A.X. Kiang, 2008. Flight path planning based on niche genetic algorithm. J. Syst. Simulation, 20: 5940-5943.
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