Tehnički vjesnik, Vol. 26 No. 1, 2019.
Izvorni znanstveni članak
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
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
Datum izdavanja:
16.2.2019.
Posjeta: 1.715 *