UHV DC transmission line fault cause identification method based on multi-source information fusion

Abstract

The invention relates to an UHV DC transmission line fault cause identification method based on multi-source information fusion, which comprises the steps of: acquiring electrical quantity fault dataand non-electrical quantity information of an UHV DC transmission line; extracting electrical characteristic quantities of the UHV DC transmission line, and constructing an electrical characteristic input vector; extracting non-electrical characteristic quantities of the UHV DC transmission line, and constructing a non-electrical characteristic input vector; constructing a comprehensive neural network identification model for lightning strike, mountain fire, foul, wind deviation and bird damage respectively, wherein a number of layers of hidden layers of a neural network model is selected by adopting a method with minimum error; a self-learning method is adopted for identifying specific fault causes. The UHV DC transmission line fault cause identification method combines the electrical quantity information and the non-electrical quantity information, searches for the characteristic law, fuses the multi-source information by using the fusion property of the neural network, utilizes theidea of a big data method, utilizes the multi-source fault information, combines with a neural network algorithm to perform identification of the causes, and fully guarantees the precision of cause identification.

Description

technical field [0001] The invention relates to the field of operation and maintenance of high-voltage transmission lines, in particular to a method for identifying fault causes of ultra-high voltage direct current transmission lines based on multi-source information fusion. Background technique [0002] The length of UHV DC transmission lines can reach thousands of kilometers, and most of them are located in mountainous and hilly areas. They are vulnerable to various natural disasters, external force damage, etc., and failures occur. Timely identification and research of the cause of failures can guide line inspections, speed up maintenance and maintenance of lines. Power restored. [0003] Transmission line faults mainly include faults caused by lightning strikes, wildfires, pollution, bird damage, and wind deviation. The identification of the cause of the fault needs to be based on the understanding of various fault principles and processes. On this basis, the characteri...

AI Technical Summary

Problems solved by technology

[0004] Among them, the fault characteristics include the fault characteristics of electrical quantities and the fault characteristics of non-electrical quantities. There are similarities in the characteristics of electrical quantities under different reasons, and there are also unique factors in non-electrical qu...

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