Method for intelligent analysis of transient power quality disturbance based on networking

Abstract

The invention relates to a method for the intelligent analysis of transient power quality disturbance based on networking, which comprises the following steps of: combining disturbance signals of a plurality of monitoring points in an electric network, and performing disturbance detection to determine the starting time and the ending time of the transient power quality disturbance by using form non-sampling wavelet analysis; performing disturbance identification to perform feature extraction and encoding on power quality disturbance signals by combining window Fourier transform and S transform, and comparing the features of the power quality disturbance signals with a binary threshold matrix to identify the type of the disturbance; and during disturbance positioning, switching disturbance to a capacitor, taking the disturbance energy and the power spectrum of the disturbance signals as characteristics, combining a support vector machine to determine the switching position of the capacitor, and for voltage sag disturbance, judging the change polarity of current components at the time of voltage sag to position the relative position of a disturbance source so as to position the disturbance source. The method uses transient signals of a plurality of the monitoring points in the electric network, provides a comprehensive intelligent analysis result of the transient power quality disturbance, and can provide comprehensive and accurate data support for evaluating and controlling the problems of the transient power quality disturbance.

Description

technical field [0001] The invention relates to the field of power quality monitoring, in particular to a network-based intelligent analysis method for transient power quality disturbances. Background technique [0002] With the rapid development of my country's electric power industry, the composition of modern power grids and loads has changed dramatically, especially the continuous growth of nonlinear, impact, and unbalanced load capacity, such as various power rectification equipment, electric arc furnaces, large-capacity speed-regulating motors and electrified railways The wide use of such in the power system has seriously affected the power quality of the power supply system; on the other hand, due to the extensive use of precision electronic equipment such as microprocessors and digital devices, the sensitivity to power supply reliability and quality is also Higher and higher. Therefore, it has become an important task for power workers to reasonably solve the power qu...

AI Technical Summary

Problems solved by technology

The current transient power quality disturbance analysis method is mainly based on the disturbance information of a single monitoring point to study the detection and identification of transient power quality disturbances. Disturbance information comprehensively analyzes and evaluates transient power quality disturbances; while the existing networked power quality monitoring system can only systematically analyze various steady-state power quality indicators, which is affected by the high sampling rate of transient signal analysis , failed to provide an effective analysis method for transient power quality disturbances

Images