摘要
气体绝缘组合电器(gas insulated switchgear,GIS)机械缺陷是导致设备故障的关键因素之一,为此开展了变频电流激励模式下隔离开关底座松动缺陷的时频域振动图谱变化规律研究,进行了波形因子、重心频率等6个振动特征量的量化分析,采用灰狼算法优化的支持向量机研究提出了变频电流激励模式下GIS隔离开关底座松动缺陷严重程度辨识方法。结果表明:GIS隔离开关缺陷振动信号特征量与电流激励频率具有强相关性,与单一工频电流激励模式相比,变频电流激励具备更有效检测GIS设备机械缺陷的优势;基于126 kV真型GIS试验平台验证获得构建的隔离开关底座松动缺陷辨识模型的平均识别准确率达90%以上。该研究成果为揭示GIS设备的非线性机械振动特性及提升其机械缺陷检测水平提供了重要参考。
Mechanical defects of gas insulated switchgear(GIS)equipment is one of the critical factors leading to its failure.Therefore,we studied the evolution laws of time domain and frequency domain vibration spectra of disconnector base looseness defects under the excitation of variable frequency currents,and quantitatively analyzed six vibration char-acteristic values,such as waveform factor and gravity frequency.The support vector machine optimized by the Grey Wolf Optimizer algorithm was used to propose a method for identifiying the severity of GIS disconnector base looseness de-fects based on variable frequency current excitation mode.The results show that there is a strong correlation between the vibration characteristic values of GIS disconnector base looseness defects and the frequencies of excitation currents.Compared with the single power frequency current excitation mode,variable frequency current excitation has the ad-vantage of more effective detection of GIS mechanical defects.Based on the verification of the 126 kV true GIS experimental platform,the average recognition accuracy of the disconnector base looseness defects identification model is over 90%.The results of this paper provide important references for revealing the nonlinear mechanical vibration characteristics of GIS equipment and improving its mechanical defect detection level.
作者
李旭
郝建
李滢
邵子琦
钟尧
蒋西平
LI Xu;HAO Jian;LI Ying;SHAO Ziqi;ZHONG Yao;JIANG Xiping(State Key Laboratory of Power Transmission Equipment Technology,Chongqing University,Chongqing 400044,China;Scientific Research Institute of Electric Power,Guizhou Power Grid Company Ltd.,Guiyang 550002,China;State Grid Chongqing Electric Power Company Chongqing Electric Power Research Institute,Chongqing 401123,China)
出处
《高电压技术》
EI
CAS
CSCD
北大核心
2024年第2期579-589,共11页
High Voltage Engineering
基金
国家重点研发计划(2022YFB2403705)
重庆市自然科学基金(CSTB2022NSCQ-MSX1247)
国网重庆市电力公司科技项目(2022渝电科技26#)。
关键词
隔离开关
变频电流激励
机械缺陷
非线性行为
缺陷辨识
disconnector
variable frequency excitation
mechanical defects
nonlinear behavior
defect identification
作者简介
李旭,2000-,女,硕士生主要研究方向为电气设备绝缘在线监测及故障诊断,E-mail:lixu20000817@163.com;通信作者:郝建,1984-,男,博士,教授,博导主要从事电气设备绝缘在线监测与故障诊断研究,E-mail:cquhaojian@126.com。
