Optimized Design on Cam of Spring Operation Mechanism for Vacuum Circuit Breaker
Research & Analysis|更新时间:2025-06-30
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Optimized Design on Cam of Spring Operation Mechanism for Vacuum Circuit Breaker
High Voltage ApparatusVol. 61, Issue 7, Pages: 73-81(2025)
作者机构:
1.广东电网有限责任公司清远供电局,广东 清远 511518
2.广东电网有限责任公司广州供电局电力科学研究院,广州 510410
3.厦门理工学院电气工程与自动化学院,褔建 厦门 361024
作者简介:
基金信息:
Science and Technology Project of Guangdong Power Grid Co., Ltd. Guangzhou Power Supply Bureau (Key Technology Research and Application of Environmentally Friendly GIS with Vacuum Interruption)
TANG Kaihang, GU Le, SU Haibo, et al. Optimized Design on Cam of Spring Operation Mechanism for Vacuum Circuit Breaker[J]. High voltage apparatus, 2025, 61(7): 73-81.
DOI:
TANG Kaihang, GU Le, SU Haibo, et al. Optimized Design on Cam of Spring Operation Mechanism for Vacuum Circuit Breaker[J]. High voltage apparatus, 2025, 61(7): 73-81. DOI: 10.13296/j.1001-1609.hva.2025.07.009.
Optimized Design on Cam of Spring Operation Mechanism for Vacuum Circuit Breaker
In the context of global advocacy for green energy
vacuum circuit breakers are considered to be an important technical solution to achieve SF
6
-free high-voltage switchgear
and its mechanical characteristics are the pre-requisite and foundation to achieve electrical performance. Due to the unique performance of vacuum interrupter
the current 126 kV vacuum circuit breaker equipped with spring operating mechanism has problems of not closing to the end during the closing operation. Therefore
in this paper the 126 kV vacuum circuit breaker with CT spring operating mechanism is taken as the research object to perform the output and load matching characteristics analysis and calculation. Based on its matching advantages and disadvantages result
an optimization design method for the cam of the mechanism is described. It is proved by the result of the output and load matching characteristic analysis of the optimized cam that the matching is good and can achieve reliable closing operation. Finally
the feasibility of the optimization scheme is proved through simulation verification and prototype test.