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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

Puni tekst: engleski, pdf (1 MB) str. 156-162 preuzimanja: 21* citiraj
APA 6th Edition
Petranović, D., Marušić, A. i Havelka, J. (2019). Optimum Wire Busbar Design by Genetic Algorithm. Tehnički vjesnik, 26 (1), 156-162. https://doi.org/10.17559/TV-20180618080043
MLA 8th Edition
Petranović, Davor, et al. "Optimum Wire Busbar Design by Genetic Algorithm." Tehnički vjesnik, vol. 26, br. 1, 2019, str. 156-162. https://doi.org/10.17559/TV-20180618080043. Citirano 24.03.2019.
Chicago 17th Edition
Petranović, Davor, Ante Marušić i Juraj Havelka. "Optimum Wire Busbar Design by Genetic Algorithm." Tehnički vjesnik 26, br. 1 (2019): 156-162. https://doi.org/10.17559/TV-20180618080043
Harvard
Petranović, D., Marušić, A., i Havelka, J. (2019). 'Optimum Wire Busbar Design by Genetic Algorithm', Tehnički vjesnik, 26(1), str. 156-162. doi: https://doi.org/10.17559/TV-20180618080043
Vancouver
Petranović D, Marušić A, Havelka J. Optimum Wire Busbar Design by Genetic Algorithm. Tehnički vjesnik [Internet]. 2019 [pristupljeno 24.03.2019.];26(1):156-162. doi: https://doi.org/10.17559/TV-20180618080043
IEEE
D. Petranović, A. Marušić i J. Havelka, "Optimum Wire Busbar Design by Genetic Algorithm", Tehnički vjesnik, vol.26, br. 1, str. 156-162, 2019. [Online]. doi: https://doi.org/10.17559/TV-20180618080043

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

Posjeta: 44 *