Fault moment determining and fault region location method based on random matrix theory

Abstract

The invention discloses a fault moment determining and fault region location method based on a random matrix theory, and the method comprises the steps: obtaining the PMU data and signal to noise ratio of each node in a power system in a time period T, obtaining an original data matrix according to the PMU data of each node, carrying out the standardization processing of the original data matrix,and then obtaining the mean spectral radius at each moment of the time period T through a monocyclic theorem; obtaining an augmented matrix and a reference augmented matrix of each node according to the signal to noise ratio and the original data matrix, obtaining the mean spectral radius difference and mean spectral radius integral of the augmented matrix and the reference augmented matrix of each node in the time period T through the monocyclic theorem, wherein the moment when the mean spectral radius at each moment of the time period T is less than a normal operation value of the mean spectral radius is determined as a fault moment, and a node with the largest mean spectral radius in the nodes with the difference of the mean spectral radiuses of all nodes in the time period T being greater than a critical value is determined as a fault region. The method cannot be affected by bad data.

Description

technical field [0001] The invention belongs to the field of power systems, and more specifically relates to a method for determining fault time and locating a fault area based on random matrix theory. Background technique [0002] Power system failures caused by extreme weather and equipment failures pose serious challenges to its safe and stable operation, and even lead to large-scale power outages in severe cases. Therefore, how to quickly and accurately complete power grid fault diagnosis, provide fault diagnosis results to assist operation dispatchers to deal with faults in time, prevent accidents from expanding, and reduce power outage losses are of great significance to ensure the safe and stable operation of power systems. The popularization and application of the wide-area measurement system (WAMS) in the power system provides high-dimensional and massive wide-area electrical quantity information with a unified time scale for power system fault diagnosis, and also p...

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Problems solved by technology

[0004] Aiming at the above defects or improvement needs of the prior art, the present invention provides a fault time determination and fault area location method based on random matrix theory, thereby solving the problem that the current fault diagnosis method based on wide-area measurement system data is vulnerable to WAMS defects. Technical Issues of Data Interference

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