电工技术学报2024，Vol.39Issue(16)：5162-5171,10.DOI:10.19595/j.cnki.1000-6753.tces.230840
基于结构声强法的GIS机械振动传递特性
Energy Transfer Characteristics of GIS Mechanical Vibration Based on Structural Intensity Method
摘要
Abstract
Gas insulated switchgear(GIS)is widely used in power systems due to its advantages of high transmission efficiency,long operating life and small footprint.In addition to the insulation failure,the mechanical failure at the contact is also one of the main reasons for the safe operation of GIS equipment.Therefore,timely detection of internal mechanical defects can effectively reduce the occurrence of accidents.Vibration detection is one of the important methods to find GIS mechanical defects.Some scholars have carried out mathematical modeling and mechanism analysis of GIS vibration,but have not paid attention to the essence of vibration transmission during GIS operation.The traditional vibration analysis method has limitations when dealing with GIS vibration.Single physical quantities such as stress,velocity and acceleration can characterize the vibration transmission status to a certain extent,but they cannot describe the energy transmitted by each vibration path well.Therefore,new vibration evaluation indexes need to be adopted.In this paper,the mechanical power flow method is used to study the vibration transmission characteristics of GIS under different contact states,and the internal relationship between the contact state and the shell vibration characteristics is studied,so as to provide a basis for the mechanical vibration detection of GIS under electrical contact states. Firstly,the vibration calculation model of GIS under power frequency current excitation is established by using the all-transient electromagnetic-structure multi-field coupling method,and the vibration of the shell under different contact state and different current is obtained.Secondly,the GIS test platform is set up and the flow experiment is carried out to verify the validity of the numerical calculation model.Thirdly,the GIS power flow model is used to extract the stress tensor and velocity results of the micro elements,and then the formula is used to solve the spatial component of the vibration energy flow,and the visualization of the vibration energy flow is realized by the method of vector and streamline synthesis.Finally,the power flow model is used to analyze the process of GIS vibration transmission under different contact states,and the difference of GIS power flow under normal and defective states is studied. The results show that the 100 Hz and 200 Hz components of the total input power flow are 6.64× 10-6 W and 4.81×10-6 W respectively when the contact is normal,and the 100 Hz and 200 Hz components of the total input power flow are 6.35× 10-6 W and 4.55× 10-6 W respectively when the contact is defective.The total input power of the system in the normal state is greater than that in the defect state,so the fundamental frequency amplitude of the shell vibration signal in the normal state is greater than that in the contact defect state. When the contact defect occurs in GIS contacts,the change of the current path of the contact leads to the distortion of the surrounding magnetic field,and the vibration state of other components changes compared with the normal contact state.In the contact defect state,the power transmitted to the air through sound is greater than that in the normal contact state,so the GIS defects in actual operation will generate more noise.The power flow transmitted by the contact when contacting the defect is obviously different from that in normal condition,so the power flow can be used as an important basis for judging the state of the contact.In the following work,we will carry out power flow analysis on the field multi-cavity GIS equipment to further improve the power flow model.关键词
气体绝缘设备/触头/振动/结构声强法/功率流Key words
Gas insulated switchgear(GIS)/contactor/vibration/structural intensity method/power flow分类
信息技术与安全科学引用本文复制引用
王扬程,关向雨,陈志鹏,林建港,赵俊义..基于结构声强法的GIS机械振动传递特性[J].电工技术学报,2024,39(16):5162-5171,10.基金项目
福建省自然科学基金资助项目(2020J01509). （2020J01509）
