A power distribution network reliability influence factor analysis method and system

Abstract

The invention relates to the field of power system data analysis methods, and provides a power distribution network reliability influence factor analysis method and system, and the method comprises the steps of constructing a Kriging model, obtaining a series of to-be-tested influence factors, and generating a series of prediction reliability indexes for the series of to-be-tested influence factors through the Kriging model; using a Sobol index method for carrying out global sensitivity analysis on a series of influence factors to be measured and a series of prediction reliability indexes corresponding to the series of influence factors to be measured, obtaining the sensitivity index of any influence factor and the sensitivity indexes of all the influence factors, the sensitivity indexes reflecting the importance degree of the influence factors to the reliability of the power distribution network. The invention overcomes the defect that an entropy weight method and a grey correlation analysis method cannot quantify the importance degree of the influence factors on the reliability of the power distribution network, and realizes the quantification of the importance degree of the influence factors on the reliability of the power distribution network.

Description

technical field [0001] The present application relates to the field of power system data analysis methods, in particular to an analysis method and system for factors affecting distribution network reliability. Background technique [0002] The reliability of distribution network refers to the degree of ability to measure the ability to minimize the power supply failure of users powered by the faulty equipment and maintain the stable operation of the power system itself when the power equipment fails. With the gradual increase of power grid scale, distribution network planning is becoming more and more important, and the factors affecting distribution network reliability play a key role in distribution network planning. The analysis of factors affecting distribution network reliability can determine which factors play a key role in distribution network reliability, and thus play a guiding role in distribution network planning. [0003] For the analysis of factors affecting d...

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Problems solved by technology

[0003] For the analysis of factors affecting distribution network reliability, entropy weight method and gray relational analysis method are currently used for analysis. However, it cannot reflect the importance of the influencing factors on the reliability index; the gray relational analysis method calculates the correlation coefficient based on the geometric similarity between the changing curve of the influencing factors and the changing curve of the reliability index, and the obtained gray relational degree reflects the degree of influence of the influencing factors. The degree of correlation with the reliability index, but the physical concept of the gray correlation degree itself is vague, and it is impossible to quantify the importance of each influencing factor on the reliability of the distribution network

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