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An early warning method for transmission line galloping based on improved bayes-adaboost algorithm

A technology for power transmission lines and improved algorithms, applied in forecasting, calculation, computer components and other directions, can solve the problems of low practicability and accuracy of transmission line galloping early warning, difficult to measure and obtain, and inaccurate physical models.

Active Publication Date: 2022-08-05
STATE GRID HENAN ELECTRIC POWER ELECTRIC POWER SCI RES INST +2
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Problems solved by technology

[0002] Because the physical model of existing transmission line galloping is not accurate enough, and some parameters in the model are difficult to obtain through measurement on the actual line, the practicability and accuracy of using physical models for transmission line galloping warning are low.

Method used

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  • An early warning method for transmission line galloping based on improved bayes-adaboost algorithm
  • An early warning method for transmission line galloping based on improved bayes-adaboost algorithm
  • An early warning method for transmission line galloping based on improved bayes-adaboost algorithm

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Embodiment Construction

[0083] The present application will be further described below with reference to the accompanying drawings. The following examples are only used to more clearly illustrate the technical solutions of the present invention, and cannot be used to limit the protection scope of the present application.

[0084] like figure 1 As shown, a transmission line galloping early warning method based on the Bayes-Adaboost improved algorithm of the present invention includes the following steps:

[0085] Step 1: Classify and combine the transmission lines according to the internal factors that affect the galloping excitation of the transmission lines, that is, the wire parameters, to form several line combinations;

[0086] A person skilled in the art can arbitrarily select the types and quantities of conductor parameters to classify and combine the transmission lines. A preferred but non-limiting implementation is to select three conductor parameters, namely conductor structure, conductor c...

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Abstract

The present application discloses a transmission line galloping early warning method based on the Bayes-Adaboost improved algorithm. , and get the early warning result of transmission line galloping through the classifier. For the newly added galloping fault samples, according to the Bayes formula, the model will be revised, and the relevant parameters of the influence of energy accumulation on galloping are added to the model, which are reflected in the temperature change rate and humidity change rate, forming a Bayes-based ‑Adaboost's improved method of galloping early warning. The invention can realize the calculation and processing of the forecast information of the meteorological characteristic factors of the transmission line galloping and the structural parameters of the transmission line and other related data, and obtain the early warning analysis result of the transmission line galloping disaster in the region.

Description

technical field [0001] The invention belongs to the technical field of transmission line galloping early warning, and relates to a transmission line galloping early warning method based on an improved Bayes-Adaboost algorithm. Background technique [0002] Because the existing physical model of transmission line galloping is not accurate enough, and some parameters in the model are difficult to obtain through measurement on the actual line, the practicability and accuracy of using the physical model for early warning of transmission line galloping is low. [0003] Machine learning obtains more accurate predictions based on past observations. It provides a method to obtain laws that cannot be obtained through principle analysis from observational data, and then use these laws to predict future data. Therefore, the machine learning theory can be well applied to the early warning method of transmission line galloping. SUMMARY OF THE INVENTION [0004] In order to solve the d...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/06G06K9/62
CPCG06Q10/04G06Q50/06G06F18/2148G06F18/2415G01W2203/00G01W1/10G06N20/20G06N7/01G06N5/01G06F18/214
Inventor 刘善峰郭志民李哲王超梁允姚德贵苑司坤杨磊李帅刘莘昱吕中宾卢明王津宇高阳崔晶晶张宇鹏高超耿俊成张小斐袁少光毛万登田杨阳
Owner STATE GRID HENAN ELECTRIC POWER ELECTRIC POWER SCI RES INST
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