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Power distribution network diagnosis index classification method based on factor regression analysis

A diagnostic index and regression analysis technology, applied in the direction of instruments, character and pattern recognition, data processing applications, etc., can solve problems affecting the accuracy of evaluation models, ignoring the importance of data mining and processing, etc., to achieve the effect of improving efficiency and accuracy

Inactive Publication Date: 2019-08-30
RES INST OF ECONOMICS & TECH STATE GRID SHANDONG ELECTRIC POWER +3
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Problems solved by technology

Therefore, directly using these collected indicators will affect the accuracy of the evaluation model, ignoring the importance of data mining and processing

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  • Power distribution network diagnosis index classification method based on factor regression analysis
  • Power distribution network diagnosis index classification method based on factor regression analysis
  • Power distribution network diagnosis index classification method based on factor regression analysis

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[0033] In order to clearly illustrate the technical features of this solution, the present invention will be described in detail below through specific implementation modes and in conjunction with the accompanying drawings. The following disclosure provides many different embodiments or examples for implementing different structures of the present invention. To simplify the disclosure of the present invention, components and arrangements of specific examples are described below. Furthermore, the present invention may repeat reference numerals and / or letters in different instances. This repetition is for the purpose of simplicity and clarity and does not in itself indicate a relationship between the various embodiments and / or arrangements discussed. It should be noted that components illustrated in the figures are not necessarily drawn to scale. Descriptions of well-known components and processing techniques and processes are omitted herein to avoid unnecessarily limiting the...

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Abstract

The invention discloses a power distribution network diagnosis index classification method based on factor regression analysis. The method comprises the following steps: dividing selected power distribution network indexes into a target layer, a main index layer and a sub-index layer by using an analytic hierarchy process; carrying out factor analysis on the current situation diagnosis index sample data to obtain a common factor of the current situation diagnosis index; and performing multivariate regression analysis, performing collinearity analysis, and deleting redundant indexes. Accordingto the method provided by the invention, the key indexes influencing the diagnosis and analysis of the power distribution network can be quickly and accurately found, the classification of the key indexes of the power distribution network can be realized, and the diagnosis and analysis efficiency and accuracy can be improved.

Description

technical field [0001] The invention relates to the technical field of distribution network planning, in particular to a distribution network diagnosis index classification method based on factor regression analysis. Background technique [0002] In the process of diagnosis and evaluation of the status quo of distribution network, a large number of index data and direct operation data related to the evaluation can be collected. These data contain a lot of information, which can fully reflect the role of various indicators in evaluating the current power grid. However, it can be seen that in most cases, the types of indicators obtained are complex and there is a certain correlation between them. The degree of contribution of the work also varies. Moreover, some indicators with different evaluation objects do not actually reflect the different factors that affect the diagnosis of the status quo of the distribution network, but the performance of factors affecting the status q...

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Application Information

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IPC IPC(8): G06Q10/06G06K9/62G06Q50/06
CPCG06Q10/06393G06Q50/06G06F18/241
Inventor 吴奎华梁荣崔灿冯亮杨波杨扬刘钊綦陆杰赵韧王耀雷贾善杰朱毅王春义杨慎全卢志鹏刘蕊王延朔张博颐李凯李昭邓少治
Owner RES INST OF ECONOMICS & TECH STATE GRID SHANDONG ELECTRIC POWER
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