Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Strong convection wind power grade prediction method based on weather radar data

A technology of wind power level and weather radar, applied in the field of electric power meteorology, can solve problems such as inability to quantitatively predict strong convective wind power, achieve strong generalization ability, good classification effect, and improve accuracy

Active Publication Date: 2017-12-29
ELECTRIC POWER SCI RES INST OF STATE GRID XINJIANG ELECTRIC POWER +1
View PDF5 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the deficiencies of the above-mentioned prior art, the present invention provides a method for predicting the level of strong convective wind force based on weather radar data, which solves the technical problem that the strong convective wind force cannot be quantitatively predicted in the prior art, and aims to realize the prediction of strong convective wind force under strong convective weather Forecast of the wind level

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
  • Strong convection wind power grade prediction method based on weather radar data
  • Strong convection wind power grade prediction method based on weather radar data
  • Strong convection wind power grade prediction method based on weather radar data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] The present invention will be further described in detail below in conjunction with the accompanying drawings and preferred embodiments.

[0038] In order to make the present invention easier to understand, at first the principle of the present invention is described, the multi-classifier of the present invention can be regarded as " black box ", and input vector is as information stimulus, and the output of multi-classifier (prediction result of wind power level) is to information The response to the stimulus, the relationship between the input (input vector) and the output (prediction result of the wind force level) of the multi-classifier is known during the training process. After the multi-classifier is trained through the training set (training model), the multi-classifier It can respond to the information stimulus of the input vector, so as to output the prediction of the wind level.

[0039] A method for predicting the level of strong convective wind force based...

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 discloses a strong convection wind power grade prediction method based on weather radar data. The weather radar monitoring data is used as prediction information source, and the prediction of strong convection wind power is processed as "classification problem under supervised learning". According to the corresponding relation between the monitoring data of the strong convection wind power by the weather radar and the wind speed monitoring data of an automatic weather station, a classifier is constructed by means of serial SWM method, and the three-level prediction of wind power can be realized. Through the down-sampling method, the influence of the imbalance between low wind speed data sample and high wind speed data sample on the module classification can be reduced. The wind power prediction model can conduct quantitative prediction on ground wind brought by strong convection weather, and the deficiency that a conventional wind forecast of the meteorology department can not cover "small-scale, emergent and easily-passing-away" strong convection weather can be made up. The wind power prediction model can be the important support of the early warning of the risk of power transmission line wind deflection discharging under the weather of strong convection.

Description

technical field [0001] The invention relates to the technical field of electric meteorology, in particular to a method for predicting strong convective wind force. Background technique [0002] Radar has been used in the meteorological industry for more than half a century. The new generation of Doppler weather radar provides an effective way for meteorological problems such as monitoring, forecasting, and early warning of severe convective and other disastrous weather. Severe convective weather refers to disastrous weather with short-term strong floods, thunderstorms, tornadoes, hail, and squall lines. It occurs in convective cloud systems or individual convective cloud blocks, and belongs to small and medium-scale weather systems in meteorology. . The root of strong convective weather is the strong vertical movement of air. In strong convective weather, transmission lines are very prone to safety failures, especially wind deflection. Due to the short duration of strong c...

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): G01S13/95G01S7/40G01S7/41G06K9/62
CPCG01S7/40G01S7/41G01S13/95G06F18/2411G06F18/214Y02A90/10
Inventor 庄文兵熊小伏李勇杰孙谊媊张龙魏伟王建王伟刘泽青
Owner ELECTRIC POWER SCI RES INST OF STATE GRID XINJIANG ELECTRIC POWER
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products