A Classification Method of Power Quality Mixed Disturbances Based on Time-Frequency Domain Multi-Feature Quantities

Abstract

The invention discloses a method for classifying power quality mixed disturbances based on time-frequency domain multi-feature quantities. Classify voltage sags, voltage swells, voltage short-time interruptions, pulse transients, oscillation transients, harmonics and flicker power quality disturbances and their combined disturbances. The specific implementation steps first use clustering The empirical model decomposition method EEMD and the improved incomplete S-transform MIST process the disturbance signal, and extract 9 time-frequency domain feature values; then, the feature quantities are input into the block-based automatic classification system for disturbance identification. This method fully considers the mutual interference between single disturbances, and effectively suppresses them through complementary time-frequency domain feature quantities. The simulation results show that under certain noise conditions, the method can effectively classify power quality disturbances such as voltage sags, voltage swells, voltage short interruptions, pulse transients, oscillation transients, harmonics and flicker and their combinations. into a mixed disturbance.

Description

technical field [0001] The invention relates to a new method for classifying electric energy quality mixed disturbances based on time-frequency domain multi-feature quantities. Background technique [0002] In recent years, power quality issues have received widespread attention from all walks of life. In-depth study of various factors affecting power quality, accurate extraction of power quality disturbance signal characteristics, and correct classification of power quality disturbances are the premise and basis for power quality analysis and evaluation. [0003] So far, a large number of scholars at home and abroad have studied the classification of power quality and achieved certain results. However, in actual power systems, power quality disturbances are often mixed disturbances, and multiple disturbances may exist at the same time. Most of the existing power quality disturbance classification methods are for the classification of single disturbances, and it is difficu...

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Problems solved by technology

[0005] Considering that the signal characteristics of the power quality mixed disturbance are very complex, and there are mutual influences among various single disturbances, etc.

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