Distribution network analysis and investment decision method based on association rule mining

A decision-making method and rule-based technology, applied in the direction of resources, character and pattern recognition, instruments, etc., can solve problems that cannot meet scientific investment management, stay, large-scale uncertain factors of distribution network construction, etc.

Pending Publication Date: 2020-05-15
SOUTHEAST UNIV
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Problems solved by technology

However, the construction scale of the distribution network is large, there are many uncertain factors, and there are many problems and challenges in the construction process. For the comprehensive evaluation and decision-making research of the complex distribution network, simply based on the statistical results of unilateral indicators such as equipment scale and load rate, Qualitative analysis and evaluation of power distribution systems relying on expert experience can no longer meet the needs of scientific investment management. And provide decision-making basis for future investment, so it is necessary to propose a distribution network analysis and investment decision-making method based on association rule mining
[0003] Aiming at the comprehensive evaluation and decision-making analysis of the development status of the distribution network, some current methods establish a distribution network investment decision-making evaluation index system, combined with analytic hierarchy process, principal component a

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  • Distribution network analysis and investment decision method based on association rule mining
  • Distribution network analysis and investment decision method based on association rule mining
  • Distribution network analysis and investment decision method based on association rule mining

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Embodiment 1

[0071] Embodiment 1: see figure 1 , figure 2 , a distribution network analysis and investment decision-making method based on association rule mining includes the following steps:

[0072] Step S1, obtaining historical data, and constructing a filling and deletion model of bad data and missing data;

[0073] For the missing data, the multiple imputation model is used to process the missing data set, and the mice() function of R language is used to process the missing data set to generate multiple complete data sets, and then the with() function is used to perform linear model regression analysis on the complete data set, and finally Use the pool() function to integrate individual analysis results into a set of results, and select a more reasonable value according to the standard error and p value of the final model;

[0074] If the bad data cannot be repaired, delete the indicator directly; if the bad data can be repaired, the mean value replacement model is used:

[0075]...

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Abstract

The invention discloses a distribution network analysis and investment decision method based on association rule mining. The method comprises the following steps: collecting historical operation dataof a distribution network, carrying out data preprocessing, filling or eliminating bad data/missing data conditions, and carrying out data normalization processing according to index analysis requirements; carrying out dimension reduction through principal component analysis, and carrying out clustering analysis on all indexes through K-means clustering; for different principal components, mininga frequent item set and a strong/weak association rule through a data association rule, and determining a strong association index influencing each principal component; meanwhile, establishing a distribution network operation evaluation model, and searching for weak points of the distribution network according to the comprehensive scores and the scores of all levels; establishing an investment return rate model according to the index annual change rate and the annual investment amount, and mining indexes of investment sensitivity; and finally, establishing an investment quantitative decision-making model by integrating the operation status of the distribution network, the principal component strong correlation indexes and the investment return rate model, and performing quantitative investment decision-making analysis.

Description

technical field [0001] The invention relates to a distribution network analysis and investment decision-making method based on association rule mining, which is based on the analysis of the operation status of the distribution network, adopts data cleaning and data association rules to mine key indicators affecting the operation of the distribution network, and adopts a comprehensive Evaluation finds weak links in distribution network operation, and makes follow-up investment decisions based on the impact indicators and return on investment of weak links, which belongs to the category of distribution network operation evaluation. Background technique [0002] With the adjustment of the national economic structure, the goal of investment management of electric power enterprises has gradually changed from expanding the scale to improving the quality of the power grid. However, the construction scale of the distribution network is large, there are many uncertain factors, and th...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06K9/62G06Q50/06
CPCG06Q10/06375G06Q50/06G06F18/23213G06F18/2135G06F18/2411
Inventor 周建华朱倩
Owner SOUTHEAST UNIV
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