Substation clustering method considering voltage sag monitoring information and its associated factors

Abstract

The invention discloses a substation clustering method that takes into account voltage sag monitoring information and associated factors, including establishing voltage sag event monitoring information indicators and associated factor indicators; inputting voltage sag characteristic index data of power grid substations in areas to be analyzed , and carry out normalization processing; using the fuzzy C-means clustering method, clustering the substations of the power grid in the area to be analyzed according to the three voltage sag characteristic indicators respectively, and obtaining the clustering results in three dimensions; selecting key indicators, using fuzzy The C-means clustering method, according to the key indicators, clusters the substations of the power grid in the area to be analyzed to obtain a comprehensive clustering result; mainly based on the comprehensive clustering results of the substations, combined with the clustering results of three dimensions, the voltage sag of each category of substations is analyzed characteristics, and give preliminary suggestions for voltage sag control. The clustering method of the invention has the advantages of comprehensive index setting, good classification effect, rich extracted information and the like.

Description

technical field [0001] The invention relates to the technical field of power systems, in particular to a substation clustering method that takes into account voltage sag monitoring information and associated factors. technical background [0002] At present, the problem of voltage sag has become increasingly prominent, and has gradually become the most serious power quality problem. In particular, the voltage sag caused by the short-circuit fault of the main network has a deep degree of sag, a wide range of influence, and very serious harm. Taking the substations in the regional power grid as the object, it is urgent and reasonable to study the prevention and control measures of voltage sag. [0003] There are a large number of substations in regional power grids (such as provincial power grids and municipal power grids) in various places in my country. However, due to technical and financial constraints, it is difficult to prevent and control all substations in regional po...

AI Technical Summary

Problems solved by technology

[0006] When using a clustering algorithm for calculation, if too many indicators are used, it is easy to cause the disaster of dimensionality, the clustering effect is not good, and dimensionality reduction is required

At present, the algorithms used for dimensionality reduction include principal component analysis, factor analysis, etc., but these algorithms determine which indicators are key indicators based on the distribution of the data itself, and the selected indicators may not be the indicators that people are most concerned about.

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