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Identification method and system for key factors affecting transmission line galloping

A transmission line and key factor technology, applied in the identification method and system field of key factors affecting transmission line galloping, can solve problems such as loose fittings and bolts, broken wires, power outages in the power grid, etc., achieve high practical value, improve accuracy, and facilitate operation Effect

Active Publication Date: 2018-04-03
STATE GRID HUNAN ELECTRIC POWER +3
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Galloping of transmission lines can easily lead to line tripping, broken strands of wires, and loose fittings and bolts. When a large-scale transmission line is covered with ice and galloping, it will even cause large-scale power outages in the power grid, seriously affecting the safe and stable operation of the large power grid.

Method used

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  • Identification method and system for key factors affecting transmission line galloping

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0023] This embodiment discloses a method for identifying key factors affecting transmission line galloping, which includes the following steps,

[0024] (1) Obtain the galloping data of the transmission line of a provincial power grid and the corresponding factors such as terrain, line direction, wind speed, wind direction, temperature, air pressure, humidity, precipitation, unevenness of ice coating, and ice thickness.

[0025] (2), respectively calculate the topographic factor F e , Line direction factor F d , wind speed factor F ws , wind direction factor F wd , temperature factor F t , air pressure factor F p , humidity factor F m , Precipitation factor F r , Icing non-uniformity factor F n , ice thickness factor F c The correlation coefficient between etc. and transmission line galloping is R e =0.21,R d =0.52,R ws =0.25,R wd =0.42,R t =0.13,R p =0.02,R m =0.03, R r =0.12,R n =0.66,R c =-0.38.

[0026] (3), set a correlation coefficient threshold T = 0...

Embodiment 2

[0035] On the basis of the above-mentioned embodiment 1, those skilled in the art should understand that: the method for identifying key factors affecting transmission line gallop disclosed in the present invention can be condensed into the following steps, as follows: figure 1 shown, including:

[0036] Step S1. Acquiring transmission line galloping data and corresponding at least two potential key factors.

[0037] Step S2, establish the linear regression equation between each potential key factor and the galloping of the transmission line, calculate the error of each linear regression equation, and determine the linear regression equation with the smallest error as the benchmark regression equation, and the potential key factor corresponding to the benchmark regression equation The factor is the first potential key factor.

[0038]Step S3, select the second potential key factor from the remaining potential key factors to adjust the benchmark regression equation, and when t...

Embodiment 3

[0040] Corresponding to the above method, this embodiment provides a system for identifying key factors affecting transmission line galloping, including:

[0041] The first module is used to obtain galloping data of transmission lines and corresponding at least two potential key factors;

[0042] The second module is used to establish the linear regression equation between each potential key factor and the galloping of the transmission line, calculate the error of each linear regression equation, and determine the linear regression equation with the smallest error as the benchmark regression equation, which corresponds to The potential key factor of is the first potential key factor;

[0043] The third module is used to select the second potential key factor from the remaining potential key factors to adjust the benchmark regression equation. When the error of the adjusted benchmark regression equation is less than or equal to the error of the benchmark regression equation bef...

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Abstract

The invention discloses a method and system for identifying key factor influencing power line waving, aiming at increasing precision of predicting power line icing and waving. The method includes: acquiring power line waving data and at least two corresponding potential key factors; establishing equations of linear regression between each potential key factor and power line waving, computing errors of every equation of linear regression, and determining an equation of linear regression that has the minimum error as a benchmark equation of regression; selecting a second potential key factor from the rest of potential key factors to adjust the benchmark equation of regression, and if the adjusted benchmark equation of regression has the error which is smaller than or equal to that of the benchmark equation of regression prior to adjustment, determining the adjusted equation of regression as the new benchmark equation of regression, and if the adjusted benchmark equation of regression has the error which is not smaller than or equal to that of the benchmark equation of regression prior to adjustment, providing no update; proceeding the rest in the same manner until all potential key factors are traversed, and the potential key factor contained in the finally obtained benchmark equation of regression being determined as the power line waving influence key factor.

Description

technical field [0001] The invention relates to the technical field of electrical engineering, in particular to a method and system for identifying key factors affecting galloping of transmission lines. Background technique [0002] Transmission lines are vulnerable to the threat of ice-covered disasters in winter. Due to the combined effect of terrain, weather, line direction and other factors, transmission lines are prone to ice-covered galloping. Galloping of transmission lines can easily lead to line tripping, broken strands of wires, and loose fittings and bolts. When galloping occurs on large-scale transmission lines covered with ice, it will even cause large-scale power outages in the power grid, seriously affecting the safe and stable operation of large power grids. Due to the large differences in the galloping characteristics of transmission lines in different regions and different meteorological conditions, the key factors affecting galloping in transmission lines ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G06Q50/06G06F17/18
CPCG06F17/18G06Q10/0639G06Q50/06
Inventor 陆佳政郭俊杨莉徐勋建张杰刘行
Owner STATE GRID HUNAN ELECTRIC POWER