Power distribution network state estimation abnormality recognition method and device

A technology for abnormal identification and network status, which is applied in the direction of circuit devices, electrical components, AC network circuits, etc., can solve problems such as incomplete identification, damage to transformers or measuring equipment, and data distortion, so as to improve the qualified rate of measurement , Solve the lack of practicability and measure the comprehensive effect of the problem

Active Publication Date: 2015-01-07
STATE GRID CORP OF CHINA +3
View PDF3 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, during the operation of the distribution automation system, due to the influence of various links such as acquisition devices, sub-stations, and channels, there are deviations and errors between the collected measurements and the actual measurements. For example, data distortion caused by channel interference, transformers or Damaged measuring equipment leads to dead data, and untimely system maintenance leads to reverse problems in the measurement direction. Currently, these problems c

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 distribution network state estimation abnormality recognition method and device
  • Power distribution network state estimation abnormality recognition method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] In order to enable those skilled in the art to understand and implement the present invention, the embodiments of the present invention are now described with reference to the accompanying drawings. Obviously, the described embodiments are only some of the embodiments of the present application, not all of them. Based on the embodiments of the present application, all other embodiments obtained by persons of ordinary skill in the art without creative work , should all belong to the protection scope of this application.

[0029] The invention discloses a distribution network state estimation abnormal identification method, the steps of which are as follows figure 1 Shown:

[0030] 1. Read the grid model and section.

[0031] Regularly read the power grid model and section through the common file method;

[0032] The grid model and section files can be in CIM / E format. Grid CIM / E is a file format expressing grid model and measurement data. Its modeling aspect inherits ...

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 power distribution network state estimation abnormality recognition method and device and relates to the field of power distribution automation. In the prior art, manual problem searching is low in efficiency and long in period and has the defects that problem recognition is incomplete and the like, and the power distribution network measurement percent of pass cannot be effectively improved. The method comprises the steps that a power grid model and a cross section are automatically read from an SCADA system at regular time, a real-time network topology is generated, data are processed by the adoption of the power distribution network state estimation algorithm, disqualified measurement is recognized, equipment causing measurement abnormality is recognized according to preset rules, the owner of the equipment is judged, and a short message is sent to the owner, and operating workers are informed in time to carry out coherent processing. According to the technical scheme, manual checking and examining links are omitted, the cost is reduced, and efficiency is improved.

Description

technical field [0001] The invention relates to the field of distribution automation, in particular to a method and device for identifying an abnormal method of distribution network state estimation. Background technique [0002] At present, during the operation of the distribution automation system, due to the influence of various links such as acquisition devices, sub-stations, and channels, there are deviations and errors between the collected measurements and the actual measurements. For example, data distortion caused by channel interference, transformers or Damaged measuring equipment leads to dead data, and untimely system maintenance leads to reverse problems in the measurement direction. Currently, these problems can only be solved by manually timing to the substation site for comparison. The on-site comparison method can be searched and identified Some measurement data problems, such as dead data, cannot be detected on site for problems such as wrong measurement di...

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): H02J3/00
CPCH02J3/00H02J13/00001H02J2203/20
Inventor 陈晓忠蔡电宝叶明友向魁
Owner STATE GRID CORP OF CHINA
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