Design Optimization of an Iron Core for Cup-Type AMF Contacts Using Genetic Aggregation Response Surface and Multi-Objective Genetic Algorithm

For cup-type AMF contacts (CACs) in high voltage vacuum interrupters (VIs), the iron core is crucial for enhancing the interrupting capability. The objective of this paper is to employ the Genetic Aggregation response surface and Multi-Objective Genetic Algorithm for optimizing the AMF characteristics in CACs, which could make the design approach more efficient. Three objectives were chosen for optimization: the highest AMF flux density measured at the central plane within the contact gap (
B
_AMF
), the corresponding phase shift time for
B
_AMF
(
t
_s
) and the weight of the iron core (
m
). Finally, an optimal iron core structure was suggested. When comparing the original structure with the optimal one, the AMF in the optimal structure was enhanced across 64.0% of the intermediate plane. Particularly in the central area, the AMF increased by 10.6%. These results demonstrate that significant enhancements were observed in the AMF characteristics of the optimal structure, essential for improving the interrupting capacity of VIs.