Distribution network operation indicator processing method based on segmented geographic region

A technology of geographical area and operation index, applied in the direction of electrical digital data processing, special data processing application, CAD network environment, etc., can solve the problems of lack of detailed characteristics, analysis of coarse grain size, etc., and achieve the effect of fine grain size of statistical analysis

Active Publication Date: 2017-02-22
JIANGSU ELECTRIC POWER CO +2
View PDF12 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Distribution network operation indicators are important indicators for evaluating the reliability of distribution network power supply. At present, most of the analysis of distribution network operation indicators are multi-dimensional statistics classified by region and industry. Although there are many types of statistics, the analysis granularity is relatively coarse Mine, lacking more detailed features

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
  • Distribution network operation indicator processing method based on segmented geographic region
  • Distribution network operation indicator processing method based on segmented geographic region
  • Distribution network operation indicator processing method based on segmented geographic region

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] The following is based on Figure 1 to Figure 4 A further description of the specific implementation of the present invention is made: this distribution network operation index processing method based on subdivided geographical regions uses the grid analysis idea, and maps it to the pre-divided grid unit according to the GPS latitude and longitude information to which the distribution transformer belongs In the grid unit, the power consumption characteristics of the distribution transformer, the load characteristics of the distribution transformer, and the load information of the distribution transformer are analyzed, from the traditional passive discovery of problems to active discovery of problems, from single management to supervision, and the analysis granularity More refined.

[0026] Taking Jiangsu Province as an example, the distribution network operation index processing method based on subdivided geographic regions includes the following steps:

[0027] (1) se...

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 present invention discloses a distribution network operation indicator processing method based on a segmented geographic region. The method comprises the following steps: dividing a geographic region into multiple relatively independent grid cells without overlapping power supply ranges; mapping all distribution transformers into corresponding grid cells; by means of a similarity algorithm, dividing types of the distribution transformers in the grid cells into pure household distribution transformers, pure commercial distribution transformers or mixed distribution transformers; calculating load information of the distribution transformers in the grid cells, and calculating a maximal load rate, a minimal load rate and an average load rate of the distribution transformers in the grid cells during different periods of time, and determining power utility characteristics of the distribution transformers in the grid cells; calculating a load indicator of the distribution transformer in each grid cell; and displaying the power utility characteristic and load indicator of the distribution transformer in each grid cell in the form of a map, so as to determine a distribution network operation indicator of the grid cell. According to the method provided by the present invention, the grid analysis idea is used to analyze the power utility characteristics, load characteristics and load information of the distribution transformers in the grid cells, and the analysis granularity is more refined.

Description

technical field [0001] The invention belongs to the technical field of electric power intelligent application, and in particular relates to a distribution network operation index processing method based on subdivided geographic areas. Background technique [0002] Grid management is an emerging management model based on global information interactive computing in recent years. Its main purpose is to use the grid as the smallest unit to realize effective resource sharing and collaboration of the grid. [0003] As an important part of the smart grid, the distribution network is directly oriented to users and is a key link to ensure the quality of power supply, improve the efficiency of power grid operation, and provide high-quality services. Distribution network operation indicators are important indicators for evaluating the reliability of distribution network power supply. At present, most of the analysis of distribution network operation indicators are multi-dimensional sta...

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): G06F17/50
CPCG06F30/18G06F2111/02
Inventor 胡蔚龙禹马倩胡卫利陈泉郑海雁李新家熊政方超仲春林季聪邵俊吕辉赵芮
Owner JIANGSU ELECTRIC POWER CO
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