The Application of Improved Genetic Algorithm in Distribution Network Reconfiguration

Abstract:

This paper presents an improved algorithm for distribution network reconfiguration. The objectives is to minimized the power loss and the percentage of over-voltage. Based on the traditional genetic algorithm, the adaptable function selection and the disposal of terminating evolution criteria has been improved, to improve the convergence of the system and the calculation accuracy. At the same time, using a new estimation method to correct the load curve. This approach takes full advantage of existing distribution network's original data, it can significantly reduce the computation time, its accuracy to meet the requirements of engineering practice. Test results have been presented along with the discussion of the algorithm.

• Periodical: Advanced Materials Research (Volumes 490-495)
• Pages: 1689-1693
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.490-495.1689
• Online since: March 2012
• Authors: Wen Hua Zhou, Xiao Long Chen
• Keywords: Active Power Loss, Improved Genetic Algorithm (IGA), Load Curve, Network Reconfiguration

References

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