Method and device for diagnosing line loss abnormality based on characteristic model of electric quantity curve

An abnormal diagnosis and feature model technology, applied in the field of electric power, can solve the problems of cumbersome search problems, strong randomness of screening data, and low reliability of analysis results, and achieve the effects of convenient data acquisition, fast calculation speed, and high reliability.

Active Publication Date: 2018-12-18
STATE GRID CORP OF CHINA +1
View PDF4 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a method and device for diagnosing abnormal line loss based on the electric quantity curve characteristic model, so as to solve the technical problems in the prior art that the screening data is too random, the search problem is cumbersome and the reliability of the analysis result is not high

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
  • Method and device for diagnosing line loss abnormality based on characteristic model of electric quantity curve
  • Method and device for diagnosing line loss abnormality based on characteristic model of electric quantity curve
  • Method and device for diagnosing line loss abnormality based on characteristic model of electric quantity curve

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0029] refer to figure 1 , figure 1 It is a schematic flowchart of a method for diagnosing an abnormal line loss based on a power curve characteristic model provided by an embodiment of the present invention. The methods include:

[0030] S101: Acquire first source data from a first system.

[0031] In this embodiment, the first source data is power data of lines, stations and users, and the first systems are "integrated power and line loss management system" and "power consumption information collection system". Line, station area and user power data can be ex...

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 line loss abnormality diagnosis method and a device based on an electric quantity curve characteristic model. The method is applied to the technical field of electric power. The method comprises the following steps of: obtaining first source data from a first system; obtaining the first source data from the first system; processing the first source data according to a preset rule in a second system to obtain second source data. A Pearson correlation coefficient algorithm is used to perform a first line loss anomaly diagnosis analysis on the second source data, and a clustering algorithm and a decision analysis algorithm are used to perform a second line loss anomaly diagnosis analysis on the second source data. The method and device for analyzing line loss abnormality based on characteristic parameter model of electric quantity curve provided by the invention adopt twice line loss abnormality analysis, the calculation speed is fast, the data acquisition is convenient, and the reliability of the analysis result is high.

Description

technical field [0001] The invention belongs to the field of electric power technology, and more specifically relates to a method and device for diagnosing abnormal line loss based on a power curve characteristic model. Background technique [0002] Power grid power loss rate, referred to as line loss for short, is an important comprehensive technical and economic index for electric power enterprises. It reflects the planning and design, production technology and operation management level of a power network, and has long been valued by power companies at all levels. With the development of the economy and the deepening of power marketization, in order to reduce the operating cost of the power grid, higher requirements are put forward for the work of energy saving and loss reduction of the power grid. When the acquisition device fails, the acquisition data transmission fails, the line transformer relationship error, the system file error, the concentrator measurement error,...

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): G06K9/62G06Q10/06G06Q50/06
CPCG06Q10/0639G06Q50/06G06F18/23
Inventor 张思为高建为路成王倩张斌郑旺范淑霞赵伟宋文乐
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap