OPTIMIZATION OF LONG RURAL FEEDERS USING A GENETIC ALGORITE

OPTIMIZATION OF LONG RURAL FEEDERS USING A GENETIC ALGORITE

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...

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Veröffentlicht in:Proceedings of the 3rd Global Conference on Power Control and Optimization 2010-02, Vol.1239, p.31-38
Hauptverfasser: Wishart, Michael, Ledwich, Gerard, Ivanovich, Grujica, Ghosh, Arindam
Format: Artikel
Sprache:eng
Schlagworte:
Conductors (devices)
Cost engineering
Earth returns
Electric potential
Feeders
Genetic algorithms
Genetics
Networks
Optimization
Position (location)
Regional
Rural
Single wires
Voltage drop
Voltage regulators
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Zusammenfassung: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.
ISSN:0094-243X