基于多目标灰狼优化算法与RBF神经网络的真空灭弧室触头结构优化设计  

Structural Optimization Design of Vacuum Interrupter Contact Based on Multi-objective Grey Wolf Optimization Algorithm and RBF Neural Network

作　　者：丁璨 王周琳 袁召[2] 李江 DING Can;WANG Zhoulin;YUAN Zhao;LI Jiang(College of Electrical Engineering&New Energy,China Three Gorges University,Yichang 443002,China;State Key Laboratory of Advanced Electromagnetic Engineering and Technology,School of Electrical and Electronic Engineering,Huazhong University of Science and Technology,Wuhan 430074,China)

机构地区：[1]三峡大学电气与新能源学院,宜昌443002 [2]华中科技大学电气与电子工程学院强电磁工程与新技术国家重点试验室,武汉430074

出　　处：《高电压技术》2024年第2期543-550,共8页High Voltage Engineering

基　　金：国家自然科学基金(52177143)。

摘　　要：在真空灭弧室触头开断过程中,合适的磁场分布有利于提高其开断性能;在合闸过程中,动、静触头间存在的电动斥力会导致触头出现弹跳现象。针对以上问题,首先建立了带铁芯式杯状纵磁触头的三维模型,进行了磁场分布与电动力的计算;为了进一步提高触头的性能,然后构建了以触头片开槽长度、开槽宽度、径向偏转角度、杯座斜槽高度及单个斜槽上下旋转角度为输入,电流峰值时刻触头间隙中心平面纵向磁场强度最大值、过零时刻中心点处磁滞时间、合闸时动静触头间的电动斥力分别为输出的RBF神经网络模型;最后结合RBF神经网络模型与多目标灰狼优化算法(MOGWO)对触头结构进行了优化。结果表明:与初始结构参数相比,当触头片开槽长度为19.74mm、宽度为3.94mm、径向偏转角为19.9°、杯座斜槽高度为18.0mm、斜槽上下旋转角为119.2°时,触头具有更好的磁场分布特性,且动、静触头间的电动斥力明显减小,有利于提高触头的工作性能。A suitable magnetic field distribution of the vacuum interrupter contact when breaking is conducive to im-proving its interrupting performance.At the moment of closing,the electrodynamic repulsion force between the moving and static contact can cause the contact to bounce.To solve the above problems,this paper firstly establishes a three-dimensional model of cup-shaped longitudinal magnetic contact with iron core,and carries out the calculation of magnetic field distribution and electrodynamic repulsion force.In order to further improve the contact performance,the RBF neural network model is constructed with the contact plate slot length,slot width,radial deflection angle,the heigth of cup holder slope slot,and individual slope slot up-and-down rotation angle as inputs.The maximum longitudinal mag-netic field strength in the center plane of the contact gap at the peak current moment,the hysteresis time at the center point at the over-zero moment,and the electrodynamic repulsion force between the dynamic and static contact at closing are taken as outputs,respectively.Finally,the structure of contact is optimized by combining the RBF neural network model with the multi-objective grey wolf optimization algorithm(MOGWO).The results show that,compared to the ini-tial structure,when the length of the contact plate slot is 19.74 mm,the width is 3.94 mm,the radial deflection angle is 19.9°,the height of the cup holder slope slot is 18.0 mm,and up-and-down rotating angle rotation angle is 119.2°,the contacts have a better magnetic field characteristics and the electrodynamic repulsion force between the dynamic and static contact is significantly reduced,which is conducive to improving the working performance of the contacts.

关 键 词：真空灭弧室触头 电动斥力 RBF神经网络 磁场特性 多目标灰狼优化算法 

分 类 号：TM561[电气工程—电器] TP18[自动化与计算机技术—控制理论与控制工程]