Transmission line parameters identification based on moving-window TLS and PMU data

The accuracy of transmission line parameters is crucial to power system normal operation. The development of PMU and WAMS supply a new way to obtain the real-time value of line parameters. In this paper, it is proposed that the moving-window total least squares algorithm for transmission line parameters identification directly based on PMU data. The method treats parameters constant during a time window and establish TLS model. Meanwhile, Kernel density estimation and point estimation are used to discuss the credibility of too many identification results. Comparison simulation with single sample computation demonstrates the presented algorithm can alsomaintain accuracy and stability under noisy condition. In addition, practical PMU data identification of one 500 kV transmission line verifies moving-window TLS effective.