CHEN Xu, ZHU Yongli, ZHAO Xuesong, et al. Identification of Lightning Strikes Based on Time-frequency Joint Analysis[J]. High VoltageApparatus, 2017, 53(1): 90-95.
CHEN Xu, ZHU Yongli, ZHAO Xuesong, et al. Identification of Lightning Strikes Based on Time-frequency Joint Analysis[J]. High VoltageApparatus, 2017, 53(1): 90-95. DOI: 10.13296/j.1001-1609.hva.2017.01.015.
Identification of Lightning Strikes Based on Time-frequency Joint Analysis
It is not only important for the transient protection
but also has significant engineering meaning for the lightning current parameters collection to identify the lightning and short-circuit fault of transmission lines correctly. For the problem on identifying the lightning and short-circuit faults
this paper adopts a multi-resolution analysis of wavelet packet and finds that energy distribution of additional components of the transient currents differs when the data windows move. Defining K value as the principal component proportion
according to the differences among the K values of the different transient signals
the lightning and short-circuit fault can be identified by using the coefficient of variation of K values. The theory of the proposed method is intuitive
simple and EMTP simulations are provided its correctness.