摘要
配电网线路众多且纷杂,加上恶劣的环境,查找故障的难度大,需要耗费大量的人力和物力。为此,研究了一种配电网集中式馈线故障自动化定位方法。利用录波器采集行波信号并利用小波变换方法对信号进行去噪处理。利用VMD方法分解行波信号,确定分解后每个模态分量的边际谱,提取每个模态分量的特征,包括频谱均值、方差、带宽、最高幅值对应的频率,组成特征量集合。输入特征,利用多分类SVM模型定位故障类型并通过行波法确定故障位置,完成配电网集中式馈线故障自动化定位。结果表明,所研究方法的定位误差达到相对最小值,定位结果更准确。
The distribution network has numerous and diverse wiring routes,coupled with harsh environments,making it difficult to find faults and requiring a significant amount of manpower and material resources.For this purpose,a centralized feeder fault automatic positioning method for distribution networks was studied.The traveling wave signal is collected by wave recorder and denoised by wavelet transform.The VMD method is used to decompose the traveling wave signal,to determine the marginal spectrum of each modal component after decomposition,and to extract the characteristics of each modal component,including the spectrum mean,variance,bandwidth and the frequency corresponding to the maximum amplitude,constitute a set of features.The fault type is located by multi-classification SVM model and the fault location is determined by traveling wave method.The results indicate that the positioning error of the studied method reaches a relatively minimum value,and the positioning results are more accurate.
作者
赵小迪
赵正
ZHAO Xiaodi;ZHAO Zheng(State Grid Xuzhou Power Supply Company,Xuzhou,Jiangsu 221005,China)
出处
《自动化应用》
2024年第5期228-231,共4页
Automation Application
关键词
配电网
馈线故障
行波信号
特征提取
自动化定位方法
distribution network
feeder fault
traveling wave signal
feature extraction
automatic location method
