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https://doi.org/10.17559/TV-20180618080043

Optimum Wire Busbar Design by Genetic Algorithm

Davor Petranović ; Zagreb University of Applied Sciences, Konavoska 2, 10000 Zagreb, Croatia
Ante Marušić ; University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, 10000 Zagreb, Croatia
Juraj Havelka ; University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, 10000 Zagreb, Croatia


Puni tekst: engleski pdf 1.470 Kb

str. 156-162

preuzimanja: 492

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Sažetak

This work shows genetic algorithm approach to the optimum wire busbar design. Parameters of the wire busbar are mapped into a chromosome like a string. This includes insulator string type, wire conductor type and number, bundle wire conductor distance, rigid spacer number, phase distance, wire conductor nominal stress, 3D truss L elements types and foundation type. GA uses natural selection on a population of such strings. The fitness function is the wire busbar price. GA performance is presented on one example with variation of input data – nominal current, short-circuit current and short-circuit duration.

Ključne riječi

design; genetic algorithm; optimum; wire busbar

Hrčak ID:

217102

URI

https://hrcak.srce.hr/217102

Datum izdavanja:

16.2.2019.

Posjeta: 1.178 *