Discrete evolutionary programming to solve network reconfiguration problem

  title={Discrete evolutionary programming to solve network reconfiguration problem},
  author={Muhammad Mohsin Aman and G. B. Jasmon and Kantha Rao Simmadari Naidu and A. H. B. A. Bakar and Hazlie Mokhlis},
  journal={IEEE 2013 Tencon - Spring},
This paper proposes a new discrete approach to solve network reconfiguration of power system. Like other problems of optimization, network reconfiguration is different. Here the positions of tie switches represent integer numbers, thus the Gaussian formulation and rounding off the number, in this case is not very useful. Evolutionary Programming (EP) based discrete optimization technique is proposed to find out the optimum switch(s) combination. Minimization of power losses is considered as a… CONTINUE READING


Publications referenced by this paper.
Showing 1-10 of 10 references

MATLAB File Exchange. Available from <http://www.mathworks.com/matlabcentral/fileexchange/23832truncated-gaussian/content/TruncatedGaussian.m>

  • B. Luong
  • 2010.
  • 2010
1 Excerpt

A rule based comprehensive approach for reconfiguration of electrical distribution network

  • J. Zhu, X. Xiong, J. Zhang, G. Shen, Q. Xu, Y. Xue
  • Electric Power Systems Research, vol. 79, pp. 311…
  • 2009
1 Excerpt

Estimation of Medical Reference Limits by Truncated Gaussian and Truncated Power Normal Distributions

  • F. Arzideh
  • Dissertation, Universität Bremen, 2008.
  • 2008
1 Excerpt

A novel method for loss minimization in distribution networks

  • M. A. Kashem, V. Ganapathy, G. B. Jasmon, M. I. Buhari
  • Electric Utility Deregulation and Restructuring…
  • 2000
1 Excerpt

Artificial intelligence through simulated evolution

  • L. J. Fogel, A. J. Owens, M. J. Walsh
  • 1966.
  • 1966
1 Excerpt

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