摘要
传统高压电缆绝缘屏蔽层烧蚀击穿故障识别技术忽略了对电缆励磁涌流特征的提取,电缆绝缘屏蔽层差异性检测结果存在较大误差,导致击穿故障识别精度偏低,实时性较差。据此提出基于涌流特征量提取的高压电缆绝缘屏蔽层烧蚀击穿故障检测方法。构建高压电缆绝缘屏蔽层烧蚀击穿的输出涌流参数检测模型,采用分布节点传感器实现击穿故障信息参数识别。提取零序涌流特征参数集,采用基波幅值包络检测方法检测不同容量和不同电压等级下的输出电压参数。构建时域输出波形模拟励磁涌流的波形,基于波形特征的差异性检测结果,结合涌流基波幅值的参数估计值,检测高压电缆绝缘屏蔽层烧蚀击穿故障参数识别及特征。仿真实验结果表明,所提高压电缆绝缘屏蔽层烧蚀击穿故障识别方法的精度较高,有效提高了高压电缆绝缘屏蔽层烧蚀击穿故障的实时监测和精准识别能力。
The traditional identification technology of ablative breakdown fault of insulation shielding layer of high-voltage cable ignores the extraction of cable inrush current characteristics, and the difference detection results of cable insulation shielding layer have large errors, resulting in low breakdown fault identification accuracy and poor real-time performance. Based on the feature extraction of inrush current, a fault detection method for ablative breakdown of insulation shielding layer of high voltage cable is proposed. An output inrush current parameter detection model of ablative breakdown of insulation shield layer of high voltage cable is constructed, and the breakdown fault information parameter identification is realized by using distribution node sensor. A characteristic parameter set of zero sequence inrush current is extracted, and the output voltage parameters under different capacity and different voltage levels are detected by the envelope detection method of base amplitude. The time domain output waveform is constructed to simulate the excitation inrush current waveform. Based on the difference detection results of waveform characteristics and combined with the parameter estimation of inrush current base wave amplitude, the identification and characteristics of ablative breakdown fault parameters of insulation shield layer of high voltage cable are detected. The simulation results show that the proposed method has a high accuracy, effectively improves the ability of real-time monitoring and accurate identification of the ablative breakdown fault of the insulation shielding layer of high voltage cable.
作者
赵雨
马斌
王帅
ZHAO Yu;MA Bin;WANG Shuai(State Grid Henan Electric Power Company Xinxiang Power Supply Company,Xinxiang 453000,China;State Grid Henan Electric Power Company Yanjin Power Supply Company,Xinxiang 453000,China)
出处
《微型电脑应用》
2023年第2期186-189,共4页
Microcomputer Applications
关键词
高压电缆
绝缘
屏蔽层
烧蚀击穿
故障识别
high voltage cable
insulation
shielding layer
ablation breakdown
fault identification
