Design Simulation and Optimization of Fast Electromagnetic Repulsion Mechanism for Mechanical DC Circuit Breaker

XU Dangguo; PENG Zhaowei; HUANG Shiyang; SONG Peng; LI Yamei; NING Linru

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Design Simulation and Optimization of Fast Electromagnetic Repulsion Mechanism for Mechanical DC Circuit Breaker

更新时间：2025-06-18

- Design Simulation and Optimization of Fast Electromagnetic Repulsion Mechanism for Mechanical DC Circuit Breaker
- High Voltage Apparatus Pages: 1-10(2025)
- 作者机构：
  
  国网冀北电力有限公司电力科学研究院，北京　 100192
- 作者简介：
- 基金信息：
  
  Science and Technology Project of State Grid Jibei Electric Power Co., Ltd.(52018K220018)
- DOI：
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XU Dangguo, PENG Zhaowei, HUANG Shiyang, et al. Design Simulation and Optimization of Fast Electromagnetic Repulsion Mechanism for Mechanical DC Circuit Breaker[J/OL]. High voltage apparatus, 2025, 1-10.
DOI：

XU Dangguo, PENG Zhaowei, HUANG Shiyang, et al. Design Simulation and Optimization of Fast Electromagnetic Repulsion Mechanism for Mechanical DC Circuit Breaker[J/OL]. High voltage apparatus, 2025, 1-10. DOI：

摘要

电磁斥力机构广泛应用为直流断路器的操作机构，在直流开断场景下要求电磁斥力机构的动作时间尽可能的在2 ms时间内分断到满开距，同时保证有较长的使用寿命。针对此问题，文中首先分析了电磁斥力机构的基本原理，然后利用有限元软件搭建了电磁斥力机构的仿真模型，分析了影响电磁斥力机构驱动性能的6个重要参数（线圈匝数、线圈高度、线圈宽度、斥力盘高度、储能电容容量及充电电压）。之后利用BBD试验设计方法输出54组样本，导入BP神经网络预测模型中，结合NSGA-II算法对电磁斥力机构进行了结构优化。仿真结果表明：线圈匝数为36匝，线圈高度5 mm，线圈宽度1.52 mm，斥力盘厚度8.87 mm，储能电容容量5 000 μF，充电电压1 400 V时，电磁斥力机构的线圈电流降低了14%，2 ms运动位移达到了13.64 mm，在满足约束条件的情况下，明显提高了机构的驱动性能，为快速机械开关的开断要求提供了合理的机构参数。

Abstract

The electromagnetic repulsion mechanism is widely used as the operating mechanism of DC circuit breaker. In the DC breaking scenario

the action time of the electromagnetic repulsion mechanism is required to break to the full opening distance within 2 ms as much as possible

while ensuring a long service life. To address this issue

this paper first analyzes the basic principle of electromagnetic repulsion mechanism

then builds a simulation model of electromagnetic repulsion mechanism using finite element software

and analyzes six important parameters (coil turns

coil height

coil width

repulsion disk height

energy storage capacitor capacity and charging voltage) that affect the driving performance of electromagnetic repulsion mechanism. After that

54 sets of samples are outputted by BBD experimental design method

imported into the BP neural network prediction model and combined with NSGA-II algorithm to optimize the structure of electromagnetic repulsion mechanism. The simulation results show that with 36 turns of coil

5 mm coil height

1.52 mm coil width

8.87 mm repulsion disc thickness

5 000 μF energy storage capacitor capacity and 1 400 V charging voltage

the coil current of the electromagnetic repulsion mechanism is reduced by 14% and the 2 ms motion displacement reaches 13.64 mm

which

under the condition of satisfying the constraints The driving performance of the mechanism is obviously improved

which provides reasonable mechanism parameters for the opening and closing requirements of the fast mechanical switch.

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references

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