Transmission Network Expansion Planning under Improved Genetic Algorithm

Hong Fan; Yi Xiong Jin

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

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 347-353Transmission Network Expansion Planning under...

Transmission Network Expansion Planning under Improved Genetic Algorithm

Abstract:

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.

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Periodical:

Advanced Materials Research (Volumes 347-353)

Pages:

1458-1461

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.347-353.1458

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Online since:

October 2011

Authors:

Hong Fan, Yi Xiong Jin

Keywords:

Electric Power System, Improved Genetic Algorithm (IGA), Simulated Annealing (SA), Transmission Network Expansion Planning

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References

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