Paper Title:
Reactive Power Optimization of Hydropower Station Based on Improved Genetic Algorithm
  Abstract

In this paper, an improved GA was proposed to minimum the disadvantages of classic GA. This modified GA improved the crossover and mutation strategy by using of sort program to arrange chromosome from big to small. The crossover probability and mutation probability were decided by the numbers of the order. Samples were chosen to take part in interbreeding. The convergence speed and results can be improved in this way. Moreover, premature convergence and local convergence were avoided at the same time. The modified GA was implemented by an optimization program compiled in visual C++ language. It has been successfully applied in the reactive power optimization of a Hydropower station. The results showed the feasibility and validity of this modified genetic algorithm.

  Info
Periodical
Chapter
Chapter 4: Frontiers of Energy Engineering and Materials
Edited by
Dongye Sun, Wen-Pei Sung and Ran Chen
Pages
2214-2217
DOI
10.4028/www.scientific.net/AMM.71-78.2214
Citation
W. Tian, J. C. Wang, Y. C. Ye, W. Chen, "Reactive Power Optimization of Hydropower Station Based on Improved Genetic Algorithm", Applied Mechanics and Materials, Vols. 71-78, pp. 2214-2217, 2011
Online since
July 2011
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Price
$32.00
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