A genetic algorithm approach for planning load transfer points in primary distribution networks

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

This paper proposes an effective approach for planning the load transfer points in primary distribution networks, which is composed of radial and closed-loop feeder arrangements. First of all, the annual equivalent load at each bus is calculated. Next, a genetic algorithm approach has been proposed to solve this optimal combination problem, and the objective is minimization of the annual system power losses. Finally, the optimal load transfer points were chosen considering minimizing annual system power losses and the inequality constraints of maximum line voltage drops and ampere capacities of the conductor. The method presented in this paper are valuable to distribution engineers for planning the load transfer points between normally closed-loop and radial feeders.

Original languageEnglish
Pages (from-to)397-402
Number of pages6
JournalICIC Express Letters
Volume7
Issue number2
Publication statusPublished - 2013 Jan 16

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Electric power distribution
Genetic algorithms
Planning
Engineers
Voltage drop

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Control and Systems Engineering

Cite this

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A genetic algorithm approach for planning load transfer points in primary distribution networks. / Huang, Wei-Tzer; Yao, Kai-chao; Chen, Der-fa; Yang, Wen Chih.

In: ICIC Express Letters, Vol. 7, No. 2, 16.01.2013, p. 397-402.

Research output: Contribution to journalArticle

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