Online collected electric power data classifying method

Abstract

The invention provides an online collected electric power data classifying method. The online collected electric power data classifying method includes the steps of (1) collecting data and establishing a database; (2) selecting data and samples from an original database; (3) training a linear SVM (supported vector machine) by the aid of organized data, and saving a training result; (4) judging whether an event is a transformer fault event via a trained model; (5) explaining a classifying result and adjusting power quality. The online collected electric power data classifying method has the advantages that an SVM classifier based on a stochastic gradient descent algorithm is applied to classification and recognition of the transformer fault event, so that the online collected data classifying problem of actually measured data of an electric power system can be solved; the stochastic gradient descent algorithm is adopted, and by means of subjecting every sample to iterative refinement for one time, even under the condition of large number of samples, the optimal solution can be iterated probably by only using tens of thousands or thousands of the samples; the online collected electric power data classifying method is more applicable to increasing demands of online collected electric power data processing nowadays.

Description

technical field [0001] The invention relates to the field of information technology, in particular to a classification method for electric power online collection data. Background technique [0002] In the power industry, digital technology has been widely used in recent years. The amount of power grid information collected and recorded in real time by various systems has exploded. Many large power grid systems have a daily data volume of tens of gigabytes, or even hundreds of gigabytes. Therefore, how to make full use of data, quickly and effectively analyze, process, and refine to discover useful knowledge has become one of the key issues facing the power industry. [0003] The basic requirements for power system operation are: (1) to ensure safe and reliable power supply; (2) to have qualified power quality; (3) to have good economy. To meet these basic requirements, the normal operation of the transformer is inseparable. The power transformer is an important substation...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the deficiencies of the prior art, the present invention provides a classification method for electric power online data collection. Support vector machine is a pattern recognition method based on statistical learning theory, which can effectively solve limited samples, nonlinear and high-dimensional patterns The identification problem has become a standard tool in the field of machine learning and data mining, but the traditional SVM is not suitable for online processing of measured data

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