Research on Power System Cost Model with Wind Power Based on Simulated Annealing and Genetic Algorithm

Abstract:

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The power system cost model include wind turbine were studied by using simulated annealing genetic algorithm. The advantages and disadvantages of genetic algorithm were presented. Annealing algorithm was improved using the Simulated Annealing. The power system cost model include a wind turbine was established, and the example case was analyzed by using simulated annealing genetic algorithm. The calculation was elucidated, demonstrating that with the wind power generation cost coefficient decreasing, the increase of wind power generating capacity will reduce the cost of power systems, and the existence of environmental costs of thermal power will be advantage to wind power.

Info:

Periodical:

Advanced Materials Research (Volumes 341-342)

Edited by:

Liu Guiping

Pages:

359-363

DOI:

10.4028/www.scientific.net/AMR.341-342.359

Citation:

D. X. Niu et al., "Research on Power System Cost Model with Wind Power Based on Simulated Annealing and Genetic Algorithm", Advanced Materials Research, Vols. 341-342, pp. 359-363, 2012

Online since:

September 2011

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Price:

$35.00

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