摘要
电力工程输电线路故障在多重干扰下,特征波形呈现多重叠加的图谱特征。导致以波形特征为基础的故障识别过程,存在误差较大且耗时较长的问题。设计一种基于多重分形谱的电力工程输电线路故障信号检测方法。通过信号结构元素度量,提取故障信号中的对应形态并进行小波分解。结合多重分形谱方法,获取故障信号特征,结合分析信号处理结果,提取电力信号的异常时刻,实现输电线路故障测距,确定故障发生位置。构建实验环节,实验结果证实,此方法的故障位置测距结果误差较小且耗时较短,可进一步缩短故障诊断维修时间。
Under multiple interference,the characteristic waveform of transmission line fault in power engineering presents multiple superimposed spectrum characteristics.As a result,the fault identification process based on waveform features has the problem of large error and long time.A fault signal detection method for power transmission lines based on multifractal spectrum is designed.Through the measurement of signal structure elements,the corresponding morphology of fault signal is extracted and wavelet decomposition is performed.Combined with the multifractal spectrum method,the fault signal characteristics are obtained.Combined with the analysis of the signal processing results,the abnormal time of the power signal is extracted to realize the transmission line fault location and determine the fault location.The experimental link is constructed.The experimental results show that the error of fault location results of this method is small and the time consumption is short,which can further shorten the fault diagnosis and maintenance time.
作者
孙晓晨
SUN Xiao-chen(Power Supply Company of Penglai District,Yantai City,State Grid Shandong Electric Power Company,Yantai 265600 China)
出处
《自动化技术与应用》
2024年第10期91-94,共4页
Techniques of Automation and Applications
基金
国网山东省电力科技项目(2017-131)。
关键词
多重分形去趋势法
电力工程
故障定位
故障检测
特征提取
multifractal de-trending method
electric power engineering
fault location
fault detection
feature extraction