Optimum Wire Busbar Design by Genetic Algorithm

• Main Authors: Ante Marušić, Juraj Havelka, Davor Petranović
• Format: Article
• Language: English
• Published: Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek 2019-01-01
• Series: Tehnički Vjesnik
• Subjects: design; genetic algorithm; optimum; wire busbar
• Online Access: https://hrcak.srce.hr/file/316837

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.