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

A Quantitative Analysis Method for Applicability of Distribution Network Reliability Improvement Measures

A quantitative analysis and reliability technology, applied in electrical components, circuit devices, AC network circuits, etc., can solve difficult horizontal comparisons, fail to consider in detail the logical connection between reliability improvement measures and reliability indicators, and difficult to horizontally compare multiple measures. And other issues

Active Publication Date: 2021-04-27
TIANJIN UNIV
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the current method mainly studies and draws conclusions on a single technology, which is difficult to apply to the horizontal comparison of multiple measures, or is limited to qualitative analysis and statistical levels, and does not consider the logical connection between reliability improvement measures and reliability indicators in detail.
[0004] In view of the lack of quantitative analysis and the difficulty of horizontal comparison in the current analysis of different distribution network reliability improvement measures, it is necessary to propose a quantitative evaluation analysis method for power supply reliability improvement technical measures, which can quantitatively give Find out the applicability and economic indicators of different reliability improvement measures, and optimize the measures through the ranking of indicators

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 Quantitative Analysis Method for Applicability of Distribution Network Reliability Improvement Measures
  • A Quantitative Analysis Method for Applicability of Distribution Network Reliability Improvement Measures
  • A Quantitative Analysis Method for Applicability of Distribution Network Reliability Improvement Measures

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0039] In order to quantitatively give the reliability improvement effect after the implementation of different reliability improvement measures, the embodiment of the present invention provides a quantitative analysis method for the applicability of distribution network reliability improvement measures based on quantitative decomposition, see figure 1 , the method includes the following steps;

[0040] 101: The processing stage of grid basic data and improvement measures;

[0041] 102: Reliability index calculation stage based on distribution network feeder classification;

[0042] 103: The stage of revising the effect of reliability improvement measures considering the degree of implementation and economy.

Embodiment 2

[0046] This embodiment is used to introduce in detail the processing stages of the grid basic data and improvement measures in Step 101 in Embodiment 1, see the following description for details:

[0047] 1. Based on the basic data information of the power grid, the reliability parameter set B and the feeder type set F are formed, and the reliability index benchmark values ​​based on various feeder lines are obtained:

[0048] Among them, the specific steps include the following:

[0049] (1) Obtain grid data information, including: grid basic data information, reliability improvement measure parameters, and reliability impact parameters;

[0050] (2) Establish the set A of reliability improvement measures that need to be analyzed;

[0051] (3) Determine the reliability index for analysis (set as U SAIDI ), establish the corresponding reliability parameter set B;

[0052](4) Construct reliability parameter set B and reliability index U SAIDI Correspondence U SAIDI =g(B); ...

Embodiment 3

[0075] This embodiment is used to introduce in detail the step 102 in embodiment 1, based on the reliability index calculation stage of distribution network feeder classification, see the following description for details:

[0076] During the implementation, the degree of reliability improvement of different feeder lines by the reliability improvement measures can be analyzed one by one, and then the quantitative results and effect ranking of the degree of system reliability improvement by the measures can be obtained. The specific steps include the following:

[0077] (1) Obtain the number of measures K in the set A, and set the reliability improvement measure count k=1;

[0078] (2) Select the kth reliability improvement measure A from the set A k ;

[0079] (3) Set feeder type count j=1;

[0080] (4) Get the feeder type F from the set F j ;

[0081] (5) Determine the corresponding relationship between reliability improvement indicators and reliability parameters, and es...

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 quantitative analysis method for the applicability of distribution network reliability improvement measures. The method qualitatively selects distribution network reliability improvement measures based on distribution network conditions, and combines the distribution network reliability indicators concerned with the The relationship between distribution network reliability improvement measures is decomposed into four levels: distribution network reliability improvement measures, distribution network reliability influencing factors, distribution network reliability parameters, and distribution network reliability indicators. Quantitative analysis of the relationship between distribution network reliability indicators and distribution network reliability improvement measures through four-layer quantitative analysis to fully reflect the internal constraints that affect reliability. The invention adapts to the needs of different types of power grids, and based on the degree of implementation and investment cost, corrects the applicability and economy of the reliability improvement measures, and obtains the relationship between the reliability improvement measures of the distribution network and the reliability indicators of the distribution network. Impact.

Description

technical field [0001] The invention relates to the field of power system operation analysis, in particular to a quantitative analysis method for the applicability of distribution network reliability improvement measures. Background technique [0002] As a part of the power system that is directly connected to power users, the reliability of distribution network is closely watched by power supply companies and power users. The development of the national economy also puts forward higher requirements on the reliability of distribution network. Due to my country's long-term development policy of "emphasizing power generation, light transmission and no effect", the level of distribution network construction still has a large gap compared with foreign countries, and the difference between urban and rural areas is also very obvious. How to conduct quantitative analysis on numerous reliability improvement measures of distribution network has become an urgent problem to be solved ...

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): H02J3/00
CPCH02J3/00H02J2203/20
Inventor 孔祥玉王玉婷吕鑫鹏孔德谦
Owner TIANJIN UNIV
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