摘要
为全面研究特高压并联电抗器振动噪声特性及预测大小,考虑电抗器振动噪声产生机理,建立了基于多物理场耦合的电磁-结构-噪声全过程仿真电抗器模型。基于场-路耦合的电磁学理论,采用虚位移原理计算了电抗器电磁力;基于电磁-结构耦合的动力学理论,以电磁力为载荷,求取电抗器振动特性与振动速度;基于结构-噪声耦合的声学理论,以电抗器振动速度为载荷,分析了电抗器噪声分布;通过实验验证了模型的准确性。研究结果表明:油箱表面振动信号可反映电抗器内部运行状态,送电瞬间电抗器从暂态过渡到稳态需1.5个电流周期,电抗器振动以100 Hz为主振频率,噪声集中于100 Hz为中心频率的1/3倍频带,最大噪声为83.2 dB。分析研究结果为电抗器的减振降噪提供了理论支持。
In order to comprehensively study the characteristics of vibration and noise of UHV shunt reactors and their prediction values,considering the generation mechanism of vibration and noise of reactors,an electromagnetic-structure-noise whole process simulation reactor model based on multi physical field coupling is established. Based on the electromagnetics theory of field-circuit coupling,the electromagnetic force of the reactor is calculated by using virtual displacement principle. Based on the dynamic theory of electromagneticstructure coupling,the vibration characteristics and velocity of the reactor are obtained with the electromagnetic force taken as a load. Based on the acoustic theory of structure-noise coupling,the noise distribution of the reactor is analyzed with the vibration velocity taken as a load. And the accuracy of the model is verified by experiments. The research results show that the vibration signals on the surface of oil tank can reflect the internal operating status of the reactor,and the reactor need about 1.5 current cycles to transition from transient state to steady state;the main vibration frequency of reactor is 100 Hz,and the noise concentrates on the 1/3 octave band with the center frequency of 100 Hz,and the maximum noise is 82.3 dB.The analysis and research results provide theoretical support for the reduction of vibration and noise of the reactor.
作者
吴书煜
马宏忠
姜宁
戴锋
朱超
谭风雷
WU Shuyu;MA Hongzhong;JIANG Ning;DAI Feng;ZHU Chao;TAN Fenglei(College of Energy and Electrical Engineering,Hohai University,Nanjing 211100,China;State Grid Jiangsu Electric Power Co.,Ltd.Maintenance Branch Company,Nanjing 211102,China)
出处
《电力自动化设备》
EI
CSCD
北大核心
2020年第3期122-127,共6页
Electric Power Automation Equipment
基金
国家自然科学基金资助项目(51577050)
国网江苏省电力有限公司重点科技项目(J2018014)。