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

Power grid strong wind safety early warning management and control method and system

A safety early warning and strong wind technology, applied in information technology support systems, forecasting, instruments, etc., can solve the problem of low early warning accuracy

Active Publication Date: 2020-10-23
ELECTRIC POWER SCI RES INST OF STATE GRID XINJIANG ELECTRIC POWER +1
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The invention provides a method and system for early warning and control of high wind safety in power grids, which overcomes the above-mentioned deficiencies in the prior art, and can effectively solve the problem that the existing early warning and control methods for high wind safety in power grids cannot combine the design differences of line poles and towers in transmission lines for high wind safety. Early warning, resulting in the problem of low early warning accuracy

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 grid strong wind safety early warning management and control method and system
  • Power grid strong wind safety early warning management and control method and system
  • Power grid strong wind safety early warning management and control method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0038] Embodiment 1: as attached figure 1 As shown, the power grid safety early warning control method includes:

[0039] S101. Obtain a strong wind forecast data set in the area where the power grid equipment is located within a set time, wherein the strong wind forecast data set includes a plurality of strong wind forecast data;

[0040] S102. Render each gale forecast data according to the wind speed level, and superimpose and correlate it with the geographic information map of the power grid equipment to obtain a superimposed correlation layer, wherein the geographic information map of the power grid equipment includes geographic information of each line tower;

[0041] S103. According to the superimposed association layer and the geographical information of each line tower, determine the corresponding line tower strong wind warning information.

[0042] In step S101 of the above technical solution, according to the time resolution, spatial resolution, and setting time, t...

Embodiment 2

[0047] Embodiment 2: as attached figure 2 As shown, the power grid safety early warning control method includes:

[0048] S201. Obtain a strong wind forecast data set in the area where the power grid equipment is located within a set time, wherein the strong wind forecast data set includes a plurality of strong wind forecast data;

[0049] S202, divide the wind speed grade according to the wind speed range of the strong wind forecast data set, and identify each wind speed grade by color, and the color of each wind speed grade is different;

[0050] S203, matching each strong wind forecast data with a wind speed grade, and rendering each strong wind forecast data with a color corresponding to the wind speed grade;

[0051] S204, drawing a geographical information map of power grid equipment, wherein the geographical information map of power grid equipment includes geographical information of each line tower;

[0052]S205, superimposing and associating the rendered strong win...

Embodiment 3

[0057] Embodiment 3: as attached image 3 As shown, the power grid safety early warning control method includes:

[0058] S301. Obtain a strong wind forecast data set in the area where the power grid equipment is located within a set time, wherein the strong wind forecast data set includes a plurality of strong wind forecast data;

[0059] S302. Render each strong wind forecast data according to the wind speed level, and superimpose and correlate it with the geographic information map of the power grid equipment to obtain a superimposed correlation layer, wherein the geographic information map of the power grid equipment includes geographic information of each line tower;

[0060] S303, comparing the geographic information of each line tower in the superimposed association layer with its corresponding gale forecast value;

[0061] S304. Determine the warning level according to the comparison result, and generate corresponding line tower wind warning information.

[0062] In ...

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 relates to the technical field of power grid strong wind early warning, and discloses a power grid strong wind safety early warning management and control method and system, and the method comprises the steps of obtaining a strong wind prediction data set of a region where power grid equipment is located in set time; rendering each strong wind forecast data according to the wind speed grade, and superposing and correlating the strong wind forecast data with the power grid equipment geographic information graph to obtain a superposing and correlating graph layer; and determining corresponding line tower strong wind early warning information according to the superposition association layer and the geographic information of each line tower. According to the invention, the geographic information of each line tower is combined with the strong wind forecast data of the corresponding area to generate the line tower strong wind early warning information meeting the actual situation, so that the line tower strong wind early warning precision is effectively improved, accurate early warning support is provided for operation and maintenance personnel, and normal operation of a power grid is ensured.

Description

technical field [0001] The invention relates to the technical field of high wind early warning for power grids, and relates to a method and system for early warning and control of high wind safety for power grids. Background technique [0002] Power transmission and transformation equipment is spread all over the field, with complex terrain and changeable meteorological environment. Some power transmission and transformation equipment will pass through areas with harsh environments such as strong wind areas. Power outage. Since there is no professional weather forecasting organization in the electric power industry, weather information needs to be obtained from the public meteorological department, so it is impossible to obtain weather warning equipment information and make emergency preparations such as inspections in advance. Therefore, inspection and maintenance of power grid equipment and fault finding can only rely on operation and maintenance experience, which costs a ...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06Y04S10/50Y02A90/10
Inventor 杨洋王建金铭张陵张博李孟李晓光付豪董新胜庄文兵王立福赵蓂冠刘振国
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