Overhead transmission line galloping state online prediction method and system

Abstract

The invention discloses an overhead transmission line galloping state online prediction method and system. The method comprises that: meteorological data around a transmission line at a to-be-measured moment and the icing thickness, the direction angle, the wind direction angle and the vibration amplitude of the transmission line are obtained; the meteorological data around the power transmission line at the to-be-measured moment and the icing thickness, the direction angle, the wind direction angle and the vibration amplitude of the power transmission line serve as input data to be input into a pre-constructed power transmission line galloping online prediction model, and state information of the power transmission line at the to-be-measured moment is obtained through prediction; the power transmission line galloping online prediction model is constructed based on a nearest neighbor algorithm by taking historical meteorological data around a power transmission line and historical icing thickness, direction angle, wind direction angle, vibration amplitude and state information of the power transmission line as initial neighbors; and historical data closest to the data input time is obtained by using a preset sliding window to perform updating training. The updating of the prediction sample is realized, and the accuracy of galloping state prediction is improved.

Description

technical field [0001] The invention relates to the technical field of electrical engineering, in particular to an online prediction method and system for the galloping state of an overhead transmission line. Background technique [0002] Overhead transmission lines may experience large vibrations in cold, icy and windy environments, commonly known as galloping. Line galloping can cause tripping, loose bolts, and even the collapse of transmission towers. Once the collapse causes a short circuit, it will cause a large-scale blackout of the entire power grid. In extreme weather, power outages can cause problems such as water supply and heating. At present, the early warning research on galloping is mainly divided into two aspects: the analysis of the physical mechanism of line galloping and the data-driven galloping detection. The most classic galloping physical model can be traced back to the vertical excitation mechanism proposed by Den Hartog in 1932 and the torsional vi...

AI Technical Summary

Problems solved by technology

[0003] Aiming at the problem in the prior art that the galloping state prediction of overhead transmission lines is easily affected by the imbalance of sample data, and it is difficult to accurately predict the occurrence of galloping situations, the present invention provides an online prediction method for galloping state of overhead transmission lines, including:

Images