Unlock instant, AI-driven research and patent intelligence for your innovation.

A Line Loss Analysis Method in Station Area Based on Line Loss Classifier

An analysis method and classifier technology, applied in the field of electric power, can solve the problems of unclear line loss rate control target, difficult analysis and calculation, abnormal line loss rate in the station area, etc. The effect of reducing the loss of the platform area and promoting the refined management

Active Publication Date: 2020-12-25
GUIZHOU POWER GRID CO LTD
View PDF11 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The technical problem to be solved by the present invention is to provide a line loss analysis method based on a line loss classifier to solve the problem of a large number of line loss in the prior art. Technical problems such as difficulty in rate analysis and calculation, unclear line loss rate control target, and inability to judge abnormal line loss rate in the station area

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
  • A Line Loss Analysis Method in Station Area Based on Line Loss Classifier

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0030] Embodiment 1: as figure 1 As shown, a line loss analysis method based on a line loss classifier, the method includes the following steps:

[0031] Step 1. Using the regional feature method, select a typical station area.

[0032] Step 2. Input the characteristic parameters, power supply, electricity sales and other parameters of the typical station area into the theoretical line loss calculation module of the station area to obtain the line loss rate of the typical station area. The theoretical line loss calculation module of the station area integrates various calculation methods of the line loss rate of the station area, such as the equivalent resistance method, the power flow method, and the iterative method. This step forms the typical station area line loss rate and other relevant information.

[0033] Step 3. Input the typical station area into the sample station area functional module to form a sample station area set. This step forms a sample station set, whi...

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 line loss analysis method for a station area based on a line loss classifier, comprising: selecting a typical station area for theoretical line loss calculation to obtain an accurate line loss rate and an accurate line loss rate area, and extracting characteristic parameters of a sample station area , power supply, electricity sales and other key data; input the sample station area to the function module of the station area line loss trainer, and the station area line loss classifier will classify the sample station area to form a classification principle; the divided sample stations of each category The multiple linear regression calculation model of the line loss rate of each type of station area is obtained by inputting the multiple linear regression calculation model of the line loss rate of the station area; the classification principle and the multiple linear regression calculation model of the line loss rate of each type of station area are input into the line loss classifier, and the measurement is performed from the measurement The automation system and the marketing system collect the information of each station area and use the multiple linear regression calculation model to obtain the line loss rate of each station area, compare it with the statistical line loss rate, and give the abnormal line loss alarm information; solve the line loss rate of the station area Analyze and manage difficult problems.

Description

technical field [0001] The invention belongs to the technical field of electric power, and in particular relates to a line loss analysis method in a station area based on a line loss classifier. Background technique [0002] Line loss is an important economic and technical indicator for power supply enterprises. This indicator affects multiple links such as power grid generation, supply, transformation, and utilization. With the rapid development of distribution network automation, the analysis, calculation and monitoring of distribution network line loss has become an urgent link for power companies to improve. With the continuous deepening of the reform of the electricity market economy, new requirements are constantly being put forward for the refined management of electricity consumption, energy saving and loss reduction. The innovative, scientific and modern management requires online loss monitoring and line loss subdivision management as production Necessary technica...

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 Patents(China)
IPC IPC(8): G06K9/62G06Q10/06G06Q50/06
CPCG06Q10/06393G06Q50/06G06F18/241G06F18/214
Inventor 张裕薛毅赵庆明赵倩章珂孙斌李庆生元翔张彦唐学用徐睿罗宁邓朴陈巨龙龙蔷
Owner GUIZHOU POWER GRID CO LTD
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