Zone area reasonable line loss prediction method based on data mining technology

A reasonable line loss and data mining technology, applied in data processing applications, forecasting, instruments, etc., can solve the problems of difficult theoretical line loss measurement, incomplete equipment account data, complex branch lines, etc., to achieve convenient line loss management system, Easy software implementation, reliable data source effect

Inactive Publication Date: 2015-11-18
STATE GRID CORP OF CHINA +3
View PDF0 Cites 36 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the complex branch lines in the low-voltage station area, various components, and incomplete equipment ledger data, theoretical line loss measurement is very difficult and the real-time performance 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
  • Zone area reasonable line loss prediction method based on data mining technology
  • Zone area reasonable line loss prediction method based on data mining technology
  • Zone area reasonable line loss prediction method based on data mining technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0045] Such as figure 1 As shown, a reasonable line loss prediction method in station area based on data mining technology includes the following steps:

[0046] The first step is to extract the characteristic data of the line loss in the station area.

[0047] Extract the characteristic data related to the line loss rate in the current month from the power system user data collection system, including the total number of users, the number of residents, the number of non-residents, the capacity of residents, the capacity of non-residents, the capacity of transformers, the proportion of residential capacity, Residential average capacity and power supply.

[0048] Among them, the proportion of ...

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 zone area reasonable line loss prediction method based on a data mining technology. The beneficial effects of the present invention are that: the method of the present invention aims to discover the potential correlation between the zone area characteristic data and the zone area line loss by using the actual sampling data of the zone area line loss and utilizing a data mining means to process the mass data, is reliable in data source by being compared with a conventional theoretical line loss calculation method, and can reflect the on-site actual line loss status better; the algorithm flow is simple and practical, and the efficiency is higher; a multiple linear regression model is compact in structure, can reflect the influence degrees of the characteristic parameters to the zone area line loss visually, and is easy to analyze the status of a zone area of unreasonable line loss; the method is easy for software realization, and can be integrated in a line loss management system more conveniently.

Description

technical field [0001] The invention relates to a reasonable line loss prediction method in a station area based on data mining technology, which belongs to the field of electric power system automation. Background technique [0002] Line loss is the power loss, power loss and other losses generated by various components or equipment in the power network during the transmission and distribution of electric energy. The line loss rate refers to the percentage of the power loss in the power network (line loss load) and the power supply to the power network (power supply load), and its calculation formula is as follows: [0003] [0004] The line loss rate is an important economic and technical index that comprehensively reflects the planning and design of the power system, the production operation and management level of the power sector. Reducing the line loss rate can bring considerable economic and social benefits. Our country implements voltage division, division, line ...

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
Inventor 何维民李新家孔月萍程云张昕
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