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Optimization of long rural feeders using a genetic algorithm

Wishart, Michael T., Ledwich, Gerard, Ivanovich, Grujica, & Ghosh, Arindam (2010) Optimization of long rural feeders using a genetic algorithm. In Proceedings of the 3rd Global Conference on Power Control and Optimization, Courtyard Surfers Paradise Resort, Gold Coast, Queensland.

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Abstract

This paper describes the optimization of conductor size and the voltage regulator location & 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.

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ID Code: 37931
Item Type: Conference Paper
Keywords: Rural network planning, conductor size, genetic algorithm, single wire earth return SWER
ISBN: 9789834448318
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Power and Energy Systems Engineering (excl. Renewable Power) (090607)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2010 [please consult the author]
Deposited On: 14 Oct 2010 09:01
Last Modified: 01 Mar 2012 11:37

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