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

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...

AI Technical Summary

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 analysis, cluster analysis, etc. to carry out comprehensive investment decision-making analysis and determine the optimal However, such methods are mostly analyzed from a statistical point of view, and do not use big data technology to dig deep into the potential connections between data indicators, and the obtained investment plans only stay in the direction of guidance and do not Therefore, there are the following deficiencies in the comprehensive evaluation and decision-making analysis of the development status of the distribution network:

The continuous popularization of power big data makes it far from enough to use traditional statistical methods to evaluate the distribution network. The trend of using big data technology to mine potential problems in distribution network operation will become more and more obvious in the future. However, there are few studies today that use big data technology Used in distribution network investment decision-making scheme

[0005] 2. Unquantified investment decision-making plan

Images