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Title: OPTIMIZATION OF LONG RURAL FEEDERS USING A GENETIC ALGORITHM

Abstract

This paper describes the optimization of conductor size and the voltage regulator location and magnitude of long rural distribution lines. The optimization minimizes the lifetime cost of the lines, including capital costs and losses while observing voltage drop and operational constraints using a Genetic Algorithm (GA). The GA optimization is applied to a real Single Wire Earth Return (SWER) network in regional Queensland and results are presented.

Authors:
; ;  [1];  [2]
  1. Queensland University of Technology, Brisbane, Queensland (Australia)
  2. Ergon Energy, Toowoomba, Queensland (Australia)
Publication Date:
OSTI Identifier:
21366928
Resource Type:
Journal Article
Resource Relation:
Journal Name: AIP Conference Proceedings; Journal Volume: 1239; Journal Issue: 1; Conference: 3. global conference on power control and optimization, Gold Coast (Australia), 2-4 Feb 2010; Other Information: DOI: 10.1063/1.3459766; (c) 2010 American Institute of Physics
Country of Publication:
United States
Language:
English
Subject:
46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; ALGORITHMS; CAPITALIZED COST; ELECTRIC POTENTIAL; LIFETIME; NEURAL NETWORKS; OPTIMIZATION; QUEENSLAND; VOLTAGE DROP; VOLTAGE REGULATORS; AUSTRALASIA; AUSTRALIA; COST; DEVELOPED COUNTRIES; MATHEMATICAL LOGIC

Citation Formats

Wishart, Michael, Ledwich, Gerard, Ghosh, Arindam, and Ivanovich, Grujica. OPTIMIZATION OF LONG RURAL FEEDERS USING A GENETIC ALGORITHM. United States: N. p., 2010. Web. doi:10.1063/1.3459766.
Wishart, Michael, Ledwich, Gerard, Ghosh, Arindam, & Ivanovich, Grujica. OPTIMIZATION OF LONG RURAL FEEDERS USING A GENETIC ALGORITHM. United States. doi:10.1063/1.3459766.
Wishart, Michael, Ledwich, Gerard, Ghosh, Arindam, and Ivanovich, Grujica. Tue . "OPTIMIZATION OF LONG RURAL FEEDERS USING A GENETIC ALGORITHM". United States. doi:10.1063/1.3459766.
@article{osti_21366928,
title = {OPTIMIZATION OF LONG RURAL FEEDERS USING A GENETIC ALGORITHM},
author = {Wishart, Michael and Ledwich, Gerard and Ghosh, Arindam and Ivanovich, Grujica},
abstractNote = {This paper describes the optimization of conductor size and the voltage regulator location and magnitude of long rural distribution lines. The optimization minimizes the lifetime cost of the lines, including capital costs and losses while observing voltage drop and operational constraints using a Genetic Algorithm (GA). The GA optimization is applied to a real Single Wire Earth Return (SWER) network in regional Queensland and results are presented.},
doi = {10.1063/1.3459766},
journal = {AIP Conference Proceedings},
number = 1,
volume = 1239,
place = {United States},
year = {Tue Jun 15 00:00:00 EDT 2010},
month = {Tue Jun 15 00:00:00 EDT 2010}
}
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