摘要
传统的线路故障暂态分析建模复杂,暂态分量特征量求取精度较低,将TLS-ESPRIT(总体最小二乘-基于旋转不变技术的信号参数估计)法应用于线路故障暂态分量的特征量提取,对暂态分量中的频率、幅值、衰减系数等参数进行辨识。该方法抗噪能力强,计算量小,可用于现场暂态信号分析,且可通过提取的特征量实现对现场电量的重构。通过仿真验证了TLS-ESPRIT算法在输电线路发生短路故障时提取暂态分量特征的可行性。
For complex modeling of traditional transient line fault analysis and low precision of characteristics extraction of transient component,TLS-ESPRIT（ Total Least Square- Estimation of Signal Parameters via Rotation Invariance Techniques） is used to extract characteristics of transient component of line fault. It can identify parameters of transient component such as frequency,amplitude,attenuation coefficient. As its strong anti-noise ability and small amount calculation,it can be used to analyze field transient signals and reconstruct field signals via extracted characteristic parameters. The feasibility of TLS-ESPRIT to extract transient component characteristics when short fault occurs in transmission line is testified through simulation.
出处
《电测与仪表》
北大核心
2016年第6期22-26,共5页
Electrical Measurement & Instrumentation
关键词
TLS-ESPRIT
暂态分量
特征提取
参数辨识
TLS-ESPRIT
transient component
characteristics extraction
parameters identification
