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柔性直流系统短路故障网络阻抗建模与时频特性诊断方法研究
引用本文:蒋佳丽,刘毅敏,王朋. 柔性直流系统短路故障网络阻抗建模与时频特性诊断方法研究[J]. 电测与仪表, 2022, 59(10): 53-59
作者姓名:蒋佳丽  刘毅敏  王朋
作者单位:武汉科技大学信息科学与工程学院,武汉430081
基金项目:中国博士后科学基金面上项目(2017M622512),中央高校基本科研业务费专项资金项目(2042019kf0004),国家自然科学基金青年项目(51907144)
摘    要:针对柔性直流系统直流侧短路故障诊断难题,文章从故障网络精确建模和暂态特征信号分析两个方面展开研究,并提出了阻抗网络暂态响应时频特性关联度的故障诊断方法。该方法通过向柔性直流系统线路入口处注入脉冲电压作为激励,实时提取所产生的暂态电流分量,经不同尺度的Mexican Hat变换得到时频能量序列,并构造反映故障网络暂态响应时频能量谱矩阵。同时,建立柔性直流系统精确模型,模拟不同故障点经不同大小电阻的短路故障,构建完整故障样本及其时频特征库,经相似度计算可选出与实测故障特征最相近的样本,确定故障点位置和估计短路电阻大小。最后,对上述原理方法进行算例分析,并与时域方法比较,结果表明文章所述诊断方法及其判据更为准确有效,相关原理正确可行。

关 键 词:直流系统  暂态信号  Mexican Hat函数  小波变换
收稿时间:2020-02-02
修稿时间:2020-02-02

Research on short circuit fault diagnosis method of dc line based on time-frequency characteristic correlation degree
Jiang Jiali,Liu Yimin and Wang Peng. Research on short circuit fault diagnosis method of dc line based on time-frequency characteristic correlation degree[J]. Electrical Measurement & Instrumentation, 2022, 59(10): 53-59
Authors:Jiang Jiali  Liu Yimin  Wang Peng
Affiliation:College of information Science and Engineering, Wuhan University of Science and Technology,College of information Science and Engineering, Wuhan University of Science and Technology,College of Electrical Engineering and Automation, Wuhan University,
Abstract:Aiming at the problem of DC side short-circuit fault diagnosis of flexible DC system, this paper conducts research from accurate modeling of fault network and analysis of transient characteristic signals, and proposes a fault diagnosis method based on the correlation of time-frequency characteristics of impedance network transient response. The method injects a pulsed voltage into the DC system line entrance as a stimulus, extracts the transient current component generated in real time, and obtains the time-frequency energy sequence through different scales of the Mexican Hat transform. And the energy spectrum matrix which can reflect the time-frequency characteristics of the transient response of the fault network is constructed. At the same time, an accurate model of a flexible DC system is established to simulate short-circuit faults with different resistances at different fault points, and a complete fault sample and its time-frequency characteristic database are constructed. The similarity calculation can select the closest sample to the measured fault characteristics to determine the fault Point location and estimated short-circuit resistance. Finally, an example analysis of the above-mentioned principle and method is performed, and the comparison with the time-domain method shows that the diagnostic method and its criteria described in the article are more accurate and effective, and the relevant principles are correct and feasible.
Keywords:DC system   Transient signal   Mexican Hat function   Wavelet transform
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