Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Power distribution network reliability influence factor analysis method based on cluster analysis

An analysis method and cluster analysis technology, applied in electrical components, circuit devices, AC network circuits, etc., can solve problems such as poor pertinence and generalization of analysis conclusions, and achieve the effect of comprehensive regional morphology

Active Publication Date: 2018-01-05
CHINA ELECTRIC POWER RES INST +2
View PDF4 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, only the load density is used to divide the regional types, ignoring the relevant cha

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 reliability influence factor analysis method based on cluster analysis
  • Power distribution network reliability influence factor analysis method based on cluster analysis
  • Power distribution network reliability influence factor analysis method based on cluster analysis

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0054] The technical solution provided by the present invention will be further described in detail below in conjunction with the description of the drawings and specific embodiments.

[0055] The present invention proposes a method for analyzing the factors affecting the reliability of distribution networks based on conceptual clustering, taking 10kV lines as the analysis object, and extracting line reliability feature sets related to reliability from the aspects of topology, equipment attributes, operation indicators, etc. , Use conceptual clustering method to classify route samples based on the set of reliability features, and generate a multi-level classification pattern tree. Each level represents a way to classify all route samples. Each type of route has a set of several The feature-value pairs (called the salient feature vector) that meet the classification constraints.

[0056] On the other hand, considering various natural, social and human factors that may affect the rel...

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 power distribution network reliability influence factor analysis method based on cluster analysis. The power distribution network reliability influence factor analysis methodcomprises steps of establishing a line reliability characteristic cluster, calculating an original characteristic vector and a clustering analysis element set and determining an optimal area-line pair. The power distribution network reliability influence factor analysis method based on cluster analysis considers an integrated impact caused by multiple factors while performing power distribution network reliability and helps power grid planning staff to make more effective planning technology principle.

Description

Technical field [0001] The invention relates to the field of power system big data analysis methods, and in particular to an analysis method of factors influencing the reliability of distribution networks based on cluster analysis. Background technique [0002] Power supply reliability evaluates the continuous power supply capability of the power supply system by comprehensively measuring the statistical indicators that reflect the user's power outage in the power supply system. In recent years, the reliability of the distribution network has gradually become the focus of attention of power grid companies, especially for the management and application of reliability indicators in the distribution planning business. [0003] At present, reliability-based distribution network planning methods are widely adopted in the world, combined with the development status and future trends of regional distribution networks, from the four aspects of grid architecture, equipment, technology, and ...

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): H02J3/00G06Q50/06G06Q10/06
Inventor 张国宾邓春宇王晓蓉韩笑郑亚芹季知祥史梦洁王新迎周建华
Owner CHINA ELECTRIC POWER RES INST
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products