Optimization of Three-Dimensional Magnetic Field in Vacuum Interrupter Using Particle Swarm Optimization Algorithm

Based on particle swarm optimization algorithm, a three-dimensional model of the contact system of vacuum interrupter is established. Combined with the particle swarm optimization algorithm and finite element magnetic field numerical simulation method, the contact structure parameters of a 400V/20kA...

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Veröffentlicht in:	IEEE transactions on applied superconductivity 2021-11, Vol.31 (8), p.1-4, Article 5000804
Hauptverfasser:	Li, Peiyuan, Liu, Xiaoming, Chen, Hai, Li, Bingyu, Ma, Tianxiang, Jiang, Wentao
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Contact Contacts Engineering Engineering, Electrical & Electronic Finite element method Interrupters Magnetic circuits magnetic field Magnetic fields Magnetic flux Magnetism Mathematical models optimization Optimization algorithms Parameters Particle swarm optimization Physical Sciences Physics Physics, Applied Science & Technology Superconducting magnets Technology Three dimensional models Vacuum arcs vacuum interrupter Vacuum systems
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Beschreibung
Zusammenfassung:	Based on particle swarm optimization algorithm, a three-dimensional model of the contact system of vacuum interrupter is established. Combined with the particle swarm optimization algorithm and finite element magnetic field numerical simulation method, the contact structure parameters of a 400V/20kA vacuum interrupter is taken as the optimization variables, and the maximum magnetic field intensity at the arc root is determined as the optimization objective. The distribution of the maximum transverse magnetic field intensity at the contact gap under the optimum parameters has been illustrated and analyzed.
ISSN:	1051-8223 1558-2515
DOI:	10.1109/TASC.2021.3107800