Power transmission line icing prediction method based on relevance vector machine

A correlation vector machine and transmission line technology, applied in forecasting, data processing applications, instruments, etc., can solve the problems of difficult icing prediction, low prediction accuracy, etc.

Active Publication Date: 2015-02-18
WUHAN UNIV
View PDF3 Cites 21 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the limitation of measurement technology and other reasons, some information required in the physical model is difficult to obtain or the accuracy is not high in the actual line, and it is difficult to directly apply to the icing pr

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Power transmission line icing prediction method based on relevance vector machine
  • Power transmission line icing prediction method based on relevance vector machine
  • Power transmission line icing prediction method based on relevance vector machine

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0072] One, at first, introduce the method principle that the present invention relates to:

[0073] A method for predicting icing of transmission lines based on a correlation vector machine of the present invention comprises the following steps:

[0074] Step 1. According to the physical law of icing on transmission lines, select historical icing data and micro-meteorological data considering the weight as input data, and icing thickness as output data, and perform normalization processing;

[0075] Consider weighted icing historical data with Y k-m represents, based on the following formula;

[0076] Y k-m =[g 1 (w h )×y k-m ,..., g n (w h )×y k-m-n+1 ]

[0077] where: y k-m is the historical data of icing thickness at time k-m; m is the time scale between historical icing data and predicted value of icing, and the unit is 15 minutes; n is the number of selected historical icing data, set n=4; w h is the weight change rate; g i (w h ) is the weight of the i-th i...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention belongs to the technical field of power system disaster warning, and particularly relates to a power transmission line icing prediction method based on a relevance vector machine. According to the prediction method, according to features of an icing phenomenon, the input quantity and weight index of an icing prediction model are selected and processed in a targeted mode; a power transmission line icing prediction model is built through a relevance vector machine method; training is conducted on the model through sample data, and the model is optimized by the adoption of a quantum particle swarm optimization and a K-fold cross-validation method; the icing thickness and probability distribution of a power transmission line are predicted according to the test data, and correction is further conducted on the model through repeated training to improve prediction accuracy. The prediction method considers the influences, on power transmission line icing, of various factors comprehensively, can predict the icing thickness of the power transmission line precisely and has very high prediction accuracy and generalization ability.

Description

technical field [0001] The invention belongs to the technical field of electric power system disaster early warning, and in particular relates to a method for predicting icing of transmission lines based on a correlation vector machine. Background technique [0002] If the ice thickness of the transmission line exceeds its design standard, it will cause serious accidents such as flashover, tripping or even disconnection and tower collapse. In recent years, there have been more and more power grid accidents due to icing, which have brought huge losses to society and people's property. Therefore, it is urgent to study the icing prediction method of transmission lines to provide early warning and other decision-making support for the anti-icing disaster mitigation work of the power sector. [0003] At present, there are mainly two kinds of physical models and empirical models for conductor icing prediction at home and abroad. Due to the limitation of measurement technology an...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06
Inventor 赵洁王骏刘涤尘王力刘田赵语贾骏唐飞
Owner WUHAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap