Power grid voltage out-of-limit cause diagnosis method based on data mining technology

Abstract

The invention relates to the field of electrical automation, and discloses a power grid voltage out-of-limit cause diagnosis method based on a data mining technology, which comprises the following steps: A) extracting out-of-limit voltage, and collecting related characteristics of the out-of-limit voltage; B) deleting bad data, and carrying out data preprocessing to obtain sample data; C) constructing a K-means improved clustering model, and obtaining a voltage out-of-limit cause clustering result; D) carrying out classification identification on voltage out-of-limit cause clustering results;e) constructing an SVM multi-classifier model, and optimizing model parameters; and F) inputting a to-be-diagnosed data sample to the SVM multi-classification model, and taking the output of the SVM multi-classification model as the cause of voltage out-of-limit of the to-be-diagnosed data sample. The method is high in efficiency, reduces the influence of human subjective factors, quickly and effectively processes the power grid low-voltage mass data, improves the K-means clustering model, obtains a good clustering effect, carries out the parameter optimization of the SVM model, and improves the accuracy of the power grid voltage out-of-limit cause diagnosis.

Description

technical field [0001] The invention relates to the technical field of electrical automation, in particular to a method for diagnosing the cause of grid voltage exceeding the limit based on data mining technology. Background technique [0002] In recent years, with the rapid development of my country's economy, the speed of urban expansion has accelerated significantly, the structure of the power grid has become increasingly complex, and the phenomenon of low voltage is not uncommon. However, low voltage will increase the operating loss of the system on the one hand and damage the use of transformers, motors and other equipment. On the other hand, it may cause large-scale power outages, seriously endangering the normal production of enterprises and the daily life of residents, and causing huge economic losses to the society. At present, the low-voltage diagnosis of the power grid is still mainly based on manual analysis, and its main technical means is based on a small amount...

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Problems solved by technology

[0004] The present invention aims to solve the problem that the efficiency of manual diagnosis and analysis of the cause of grid voltage exceeding the limit is low, the analysis process is also affected by human subjective factors, and it is difficult to ensure the accuracy of the result, and provides a method for diagnosing the cause of grid voltage exceeding the limit based on data mining technology

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