Check patentability & draft patents in minutes with Patsnap Eureka AI!

Transformer area classification method based on multiple thresholds and KNN

A classification method and KNN algorithm technology, applied in character and pattern recognition, instruments, data processing applications, etc., to reduce misjudgments and missed judgments, and improve classification accuracy

Active Publication Date: 2020-09-22
STATE GRID HUBEI ELECTRIC POWER RES INST +2
View PDF14 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Although the above-mentioned patents involve the classification of the station area, they are mainly aimed at the classification of the load and line loss of the station area, and none of them involve the classification of the station area in terms of the correctness of the line change relationship.

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
  • Transformer area classification method based on multiple thresholds and KNN
  • Transformer area classification method based on multiple thresholds and KNN
  • Transformer area classification method based on multiple thresholds and KNN

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] The technical solutions in the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention.

[0042] see figure 1 , which is a schematic flow chart of one embodiment of a multi-threshold and KNN-based station area classification method of the present invention, the method includes the following steps:

[0043] A. Obtain the relevant data of the station area, the relevant data of the station area includes: the corresponding relationship between the 10kV line and the station area, the name of the station area, the address code of the station area, and the voltage data of 96 points at the exit of the station area;

[0044] B. Based on the distribution transformer outlet voltage data obtained in step A, use the multi-threshold method to calculate the first classification index of the station area, specifically:

[0045] Assume that a 10kV line has n station areas, m days of data are collected, and ...

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 provides a transformer area classification method based on multiple thresholds and a KNN, and the method comprises the following steps: A, obtaining transformer area related data which comprises the corresponding relation between a 10kV line and a transformer area, a transformer area name, a transformer area address code, and transformer area outlet voltage data; b, based on the distribution transformer outlet voltage data obtained in the step A, calculating a first classification index of the transformer area by adopting a multi-threshold method; c, according to the first classification index of the transformer area calculated in the step B, performing preliminary classification on the transformer area; d, calculating a second classification index of the transformer area byadopting a KNN algorithm according to the transformer area classification result in the step C; and E, completing court classification according to the court second classification index calculated inthe step D. According to the classification method based on the multiple thresholds and the KNN, the transformer area classification accuracy can be improved, and erroneous judgment and missing judgment are reduced.

Description

technical field [0001] The invention relates to the technical field of distribution station area operation, in particular to a station area classification method based on multi-threshold and KNN. Background technique [0002] The line-change relationship of the distribution network is very important basic data. When the line-change relationship is wrong, it will directly affect the line loss calculation, power outage management and operation and maintenance of the distribution network line. In order to verify the correctness of the line-change relationship, manual methods are traditionally used, but the cost Time-consuming and difficult to guarantee real-time. Distribution network operation will generate a large amount of operation data, which can be used to carry out automatic verification of distribution network line change relationship through analysis and mining of these data. [0003] A very important link in the verification of the distribution network line-change rel...

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): G06K9/62G06Q10/06G06Q50/06
CPCG06Q10/063G06Q50/06G06F18/24147Y04S10/50
Inventor 唐泽洋沈煜万磊周鸿雁杨帆邱丹王晋刘畅舒欣杨志淳胡伟王小亮王文烁车方毅雷杨宿磊蒋伟严方彬
Owner STATE GRID HUBEI ELECTRIC POWER RES INST
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More