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

Power distribution network differential investment decision-making method based on dynamic weight

A technology of dynamic weight and decision-making method, which is applied in the field of electric power grid, can solve the problems that cannot reflect the level of economic development, power consumption level and investment scale of power grid development level, it is difficult to effectively improve the investment efficiency of distribution network, and the construction of distribution network is uneven. To achieve the optimal allocation of resources, solve the problem of development differences, and take into account the effects of accuracy and network

Pending Publication Date: 2022-08-09
CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method can be completed only by collecting historical data, but it does not consider the future development of each region, so it is difficult to effectively improve the investment efficiency of distribution network; the third is to set relevant indicators according to the current situation, and assign fixed weights to calculate the distribution ratio
This method cannot reflect the relationship between the economic development level, power grid development level, power consumption level and investment scale of each region, and ignores the importance of different indicators in different regions, which may cause uneven distribution network construction.

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 differential investment decision-making method based on dynamic weight
  • Power distribution network differential investment decision-making method based on dynamic weight
  • Power distribution network differential investment decision-making method based on dynamic weight

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0055] According to the operation situation and statistical data of the distribution network of a planned prefecture-level city in 2020, the three districts (A, B, C) of a city are taken as the research objects, and the differentiated investment decision of the distribution network based on the dynamic weight provided by the present invention is adopted. Methods The investment allocation of distribution network in three districts and counties was studied, and the specific steps were as follows.

[0056] Step S1: Analyze the factors affecting the investment decision of the distribution network, determine the investment effectiveness evaluation index, and construct an investment effectiveness evaluation system, as shown in Table 1 below. level, low-carbon benefits and economic benefits; among them, the power grid structure includes the improvement of the secondary index N-1 pass rate, the improvement of the standardized wiring rate and the improvement of the number of low-voltage...

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 dynamic weight-based power distribution network differential investment decision-making method, which comprises the following steps of: firstly, analyzing factors influencing power distribution network investment decision-making, and constructing an investment effect evaluation system; secondly, determining initial weights of evaluation indexes of all levels in the investment effect evaluation system; then, calculating a historical investment effect score of each district and county according to historical actual values of evaluation indexes of each district and county in the prefecture-level city, and calculating a predicted investment effect score of each district and county in the next year by adopting a linear regression method based on the historical investment effect scores; and finally, calculating a difference value between the predicted investment effect growth rate of each district and county and the historical investment effect growth rate, determining an optimal weight set of each district and county in the investment effect evaluation system, calculating a predicted investment effect score of each district and county based on the optimal weight, and obtaining the investment amount of each district and county. According to the method, differentiated investment decisions of the power distribution network are realized, the integrity, coordination and network performance of power distribution network investment are ensured, and a scientific basis is provided for formulating a power distribution network investment strategy.

Description

technical field [0001] The invention relates to the technical field of electric power grids, in particular to a differential investment decision-making method for distribution networks based on dynamic weights. Background technique [0002] As an important national infrastructure, distribution network plays a pivotal role in my country's economic and social development. With the continuous development of the overall configuration of the national power system, power grid companies pay more and more attention to the construction and development of the distribution network, and the investment in the distribution network is increasing year by year. Reasonable investment decision of distribution network can not only improve the utilization rate of system resources, but also play a role in accelerating the construction of distribution network and eliminating the imbalance of power grid development in various regions. At present, the investment decision-making of power grid compan...

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): G06F17/11G06Q10/06G06Q30/02G06Q50/06
CPCG06F17/11G06Q10/0637G06Q30/0283G06Q50/06Y04S10/50
Inventor 姜飞赵若澜罗涌恒易子木林政阳
Owner CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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