Two-dimensional Hankel matrix multi-scale SVD transformation method

Abstract

The embodiments of the invention disclose a two-dimensional Hankel matrix multi-scale SVD transformation method. The method includes the following steps that: S1, three-phase traveling wave data are collected, and modulus transformation is performed on the three-phase traveling wave data, and linear traveling wave mode signals are obtained, and the linear traveling mode signals are analyzed; S2, Xtransformation is performed on the traveling wave linear mode signals, and an approximate component Pj and a detail component Qj under the decomposition scale of a j-th layer are obtained; S3, a composite matrix Cj is constructed based on the S2, SVD transformation is performed on the Cj, a singular entropy corresponding to the decomposition layer is calculated, and a singular entropy increment deltaEj relative to an upper layer is calculated; if it is judged that the deltaEj is larger than a certain value epsilon, the approximate component Pj is assigned to a one-dimensional matrix X, and the step S2 is repeated, an optimal decomposition layer number r and detailed components Q1, Q2, ..., and Qr which are obtained after the decomposition of the first r layers are outputted; S4, dynamic threshold noise reduction processing is performed on a series of matrices Qi (i=1, 2, ..., and r) which are obtained after the r layers are decomposed, so that matrices which are represented by a symbol in the descriptions of the invention are obtained; and S5, transformation is performed on traveling wave signals X', and head wave and reflected wave time points are determined according to a singular point position in a traveling wave signal approximate component Qr which is obtained according to the decomposition of an r-th layer; and S6, a fault location interval is determined according to the head wave time of each monitor, and therefore, a fault point can be accurately located.

Description

technical field [0001] The invention relates to the field of power transmission and distribution, in particular to a multi-scale SVD transformation method based on a two-dimensional Hankel matrix. Background technique [0002] As a long-distance power transmission channel, high-voltage transmission lines span long distances and have complex geographical environments along the way. They are inevitably affected by factors such as lightning, tree barriers, ice, and wildfires. These factors will lead to varying degrees of line insulation performance degradation, thereby Cause the transmission line fault to trip. When a transmission line fails, a traveling wave signal propagating along both sides of the line will be generated at the fault point. The traveling wave fluctuates at a speed close to the speed of light on the line, and is not affected by factors such as line operation mode, line length, and transition resistance. . Therefore, through accurate detection and analysis o...

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Problems solved by technology

[0004] When the transmission line fault traveling wave monitor collects data, due to the line structure and the collector itself, noise signals will be mixed into the traveling wave signal. When the traveling wave signal is weak, the noise with relatively high intensity will affect the detection of the traveling wave. Cause interference, resulting in the failure of fault location and fault type identification based on traveling waves

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