Transmission Network Expansion Planning under Improved Genetic Algorithm

Abstract:

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Improved genetic algorithm for solving the transmission network expansion planning is presented in the paper. The module which considered the investment costs of new transmission facilities. It is a large integer linear optimization problem. In this work we present improved genetic algorithm to find the solution of excellent quality. This method adopts integer parameter encoded style and has nonlinear crossover and mutation operators, owns strong global search capability. Tests are carried out using a Brazilian Southern System and the results show the good performance.

Info:

Periodical:

Advanced Materials Research (Volumes 347-353)

Edited by:

Weiguo Pan, Jianxing Ren and Yongguang Li

Pages:

1458-1461

DOI:

10.4028/www.scientific.net/AMR.347-353.1458

Citation:

H. Fan and Y. X. Jin, "Transmission Network Expansion Planning under Improved Genetic Algorithm", Advanced Materials Research, Vols. 347-353, pp. 1458-1461, 2012

Online since:

October 2011

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Price:

$35.00

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