Electric distribution network multiobjective design using a problem-specific genetic algorithm

@article{Carrano2006ElectricDN,
  title={Electric distribution network multiobjective design using a problem-specific genetic algorithm},
  author={E G Carrano and L P Soares and R. Takahashi and R. Saldanha and O. M. Neto},
  journal={IEEE Transactions on Power Delivery},
  year={2006},
  volume={21},
  pages={995-1005}
}
This paper presents a multiobjective approach for the design of electrical distribution networks. The objectives are defined as a monetary cost index (including installation cost and energy losses cost) and a system failure index. The true Pareto-optimal solutions are found with a multiobjective genetic algorithm that employs an efficient variable encoding scheme and some problem-specific mutation and crossover operators. Results based on 21- and 100-bus systems are presented. The information… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 28 references

Multiobjective Decision Making: Theory and Methodology

  • V. Chankong, Y. Y. Haimes
  • 1983
Highly Influential
3 Excerpts

Power distribution system optimization by an algorithm for capacitated Steiner tree problems with complex-flows and arbitrary cost functions

  • G. Duan, Y. Yu
  • Elect. Power Energy Syst., vol. 25, pp. 515–523…
  • 2003
3 Excerpts

A fast and elitist multiobjective genetic algorithm: NSGA-II

  • K. Deb, A. Pratap, S. Agrawal, T. Meyarivan
  • IEEE Trans. Evol. Comput., vol. 6, no. 2, pp. 182…
  • 2002
3 Excerpts

Optimal reconfiguration of electrical distribution network using the refined genetic algorithm

  • J. Z. Zhu
  • Elect. Power Syst. Res., vol. 62, pp. 37–42, 2002…
  • 2002

Problem-specific genetic algorithm for power transmission system planning

  • G. Duan, Y. Yu
  • Elect. Power Syst. Res., vol. 61, pp. 41–50, 2002…
  • 2002
1 Excerpt

Reliability design of distribution systems using modified genetic algorithms

  • S. Ching-Tzong, L. Guor-Rurng
  • Elect. Power Syst. Res., vol. 60, pp. 201–206…
  • 2002
2 Excerpts

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