Yunfeng Jiang This email address is being protected from spambots. You need JavaScript enabled to view it.1, Lipeng Ji1, Rugang Tian1, Yang Li1, Xuanliang Yu1, and Zeqing Li1

1State Grid Xingtai Electric Power Supply Company, Xingtai 054001, China


Received: August 1, 2021
Accepted: December 16, 2021
Publication Date: January 20, 2022

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

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Overheat of plum blossom contact is a typical fault of high voltage switchgear, which is a big hidden danger of stable operation of the power system. In this paper, the electrical thermal structural coupling simulation of plum blossom contact is realized by the finite element method, and the contact mode between contacts is constructed by combining with the conductive bridge model. The multi-physical field coupling simulation results under steady and transient conditions are given. Finally, the temperature distribution under the 1250A rated current and 40kA/5s short-circuit current is obtained, and the fault temperature is accurately predicted by random forest algorithm. The results show that the temperature rise of the contact finger area of the plum blossom contact is the most obvious, which can reach 51.93°C under the rated current and 160.27 °C under the short-circuit condition, which seriously affects the contact resistance and the deformation of the contact finger end; different working currents will affect the temperature rise characteristics of the plum blossom contact, and the matching between the plum blossom contact and the working current should be paid attention to in the actual operation. The simulation and prediction results can provide an effective reference for manufacturing and temperature prediction of plum blossom contact.

Keywords: plum blossom contact; finite element method; multi-physics coupling; random forest


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