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Power distribution network reliability influence factor analysis method based on bidirectional weighted grey correlation

A technology of influencing factors and gray correlation, applied in the field of power system, can solve the problems of rationality of influencing results and lack of application

Active Publication Date: 2019-09-20
KAIFENG POWER SUPPLY COMPANY STATE GRID HENAN ELECTRIC POWER +1
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  • Abstract
  • Description
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  • Application Information

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Problems solved by technology

These two problems will affect the rationality of the results, and the gray relational method based on two-way weighting can better make up for the above shortcomings. In the existing patent literature, there is still a lack of application of this method

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  • Power distribution network reliability influence factor analysis method based on bidirectional weighted grey correlation
  • Power distribution network reliability influence factor analysis method based on bidirectional weighted grey correlation
  • Power distribution network reliability influence factor analysis method based on bidirectional weighted grey correlation

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Embodiment Construction

[0074] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention.

[0075] Example.

[0076] Such as figure 1 As shown, a distribution network reliability influencing factor analysis method based on two-way weighted gray correlation includes the following steps:

[0077] I. Stratify the distribution network reliability influencing factor indicators, and use the improved analytic hierarchy process to obtain the vertical subjective weight;

[0078] II. Quantify the distribution network reliability influencing factor indicators, and use the entropy weight method to obtain the vertical objective weight;

[0079] III. Combine the vertical subjective weight with the vertical objective weight, and get the vertical combination weight from ...

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Abstract

The invention discloses a power distribution network reliability influence factor analysis method based on bidirectional weighted grey correlation. Firstly, an improved analytic hierarchy process and an entropy weight method are used for weighting reliability influence factors of the power distribution network, subjective weights and objective weights are combined, and longitudinal weights are obtained from index dimensions; a transverse weight is obtained from a time dimension by using a fuzzy weighting method; the bidirectional weight is introduced into a grey correlation analysis algorithm to obtain the correlation degree between the power supply area reliability index and each influence factor; finally, according to the data of a certain power supply area, the correlation degree between the reliability index and each influence factor is obtained by adopting the method provided by the invention, so that the weak link of the power supply reliability of the power distribution network is determined.

Description

technical field [0001] The invention relates to the field of power systems, in particular to a method for analyzing factors affecting distribution network reliability based on two-way weighted gray correlation. Background technique [0002] The distribution network is the medium between the transmission network and the user, and it is the direct guarantee for the normal production and life of the society. At present, the distribution network in most cities in my country has the characteristics of complex network structure, low level of automation, and insufficient level of live work, which poses a potential threat to the reliable operation of the distribution network. [0003] At present, the research on reliability evaluation of distribution network pays more attention to the calculation of reliability rate. Scholars from various countries have developed a variety of specific calculation methods for reliability evaluation and prediction, which can be roughly divided into tw...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q10/04G06Q50/06
CPCG06Q10/04G06Q10/06393G06Q50/06
Inventor 南钰宋瑞卿王磊赵鑫李翔张皓月李宏仲
Owner KAIFENG POWER SUPPLY COMPANY STATE GRID HENAN ELECTRIC POWER