Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

The classification method of county power grid development demand level based on Maslow theory

A demand, county technology, applied in the field of demand hierarchy division of county power grid development based on Maslow's theory

Active Publication Date: 2017-12-15
STATE GRID CORP OF CHINA +2
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The existing research results at home and abroad are mainly aimed at the status quo evaluation and investment benefit evaluation of a single power grid, but there are few contents that analyze the differentiated development level of county power grids from the perspective of superior power grid companies.

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
  • The classification method of county power grid development demand level based on Maslow theory
  • The classification method of county power grid development demand level based on Maslow theory
  • The classification method of county power grid development demand level based on Maslow theory

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0042] Example: A method for hierarchical division of development needs of county-level power grids based on Maslow's theory, the steps are as follows:

[0043] Step S1, according to Maslow's theory, construct the demand index system of the county power grid.

[0044] in as figure 1 The demand index system is established on the basis of the hierarchical division diagram of county power grid development demand based on Maslow's theory, such as figure 2 shown. The demand index system includes the first-level demand index and the second-level demand index. The first-level demand index is constructed according to Maslow's theory. . The secondary demand indicators that reflect the basic power supply demand include the capacity-load ratio, the total power gap, the line aging rate and the compliance growth rate. The secondary demand indicators that reflect the demand for reliability and quality include line N-1 pass rate, main transformer N-1 pass rate, power supply rate RS-3, c...

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 Maslow-based method for classifying development demands of county-level power grids. The steps are as follows: step S1, constructing a demand index system for county-level power grids; step S2, obtaining secondary demand index values; and step S3, forming secondary demand indicators Value normalization; step S4, construct a row vector, and use the row vector as a sample representing the development demand of the county-level power grid, and use the K-means clustering algorithm to perform cluster analysis on the sample; step S5, analyze the development demand of the county-level power grid. Based on Maslow's theory, the present invention divides the development needs of county-level power grids into five levels of first-level demand indicators, analyzes the development needs of county-level power grids from the perspective of upper-level power grid companies, grasps the development weaknesses of each county-level power grid macroscopically, and finds out Corresponding investment and construction priorities, and accordingly formulate corresponding development investment and construction plans, more scientifically and reasonably guide the sustainable development of county power grids.

Description

technical field [0001] The invention belongs to the field of power system analysis, and in particular relates to a hierarchical division method of county power grid development demand based on Maslow's theory. Background technique [0002] As an important part of the power grid, the county-level power grid is directly oriented to power users and is a key link to ensure that electricity is "distributed and usable". The investment and construction of county-level power grids is increasingly valued by power grid companies. Due to the differences in the level of economic development and demand for electricity in each county, there are problems such as unbalanced development of the power grid in each county. The existing research results at home and abroad are mainly aimed at evaluating the status quo and investment benefit of a single power grid, but few of them are macroscopically analyzing the differentiated development level of county-level power grids from the perspective of...

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): H02J3/00G06Q10/04G06Q50/06
Inventor 郭勇田春筝王璟李秋燕王利利李科杨卓全少理李鹏李锰孙义豪田方媛张华一杨婉文福拴
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
Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com