Method for classifying electric energy quality mixing disturbances based on multi-feature quantity of time-frequency domain

A power quality disturbance, multi-feature technology, applied in instruments, character and pattern recognition, computer parts and other directions, can solve problems such as mutual influence and complex signal characteristics

Inactive Publication Date: 2012-12-19
SOUTHWEST JIAOTONG UNIV
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AI Technical Summary

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.

Method used

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  • Method for classifying electric energy quality mixing disturbances based on multi-feature quantity of time-frequency domain
  • Method for classifying electric energy quality mixing disturbances based on multi-feature quantity of time-frequency domain
  • Method for classifying electric energy quality mixing disturbances based on multi-feature quantity of time-frequency domain

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Experimental program
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Embodiment Construction

[0090] figure 1 It is the overall algorithm flow chart of the present invention.

[0091] A. Generation of original data of power quality mixed disturbance

[0092] Since the actual sampling signal cannot fully reflect the diversity of disturbance signals, MATLAB software is used to randomly generate normal signals, sags, swells, short-time interruptions, pulse transients, oscillation transients, harmonics and flicker. Single disturbances and 40 mixed disturbances.

[0093] Each type randomly generates 50 samples, the signal fundamental frequency is 50Hz, and the signal sampling frequency is 3.2kHz. All signals are superimposed with Gaussian white noise with a signal-to-noise ratio of 40dB.

[0094] B. Feature quantity construction and extraction

[0095] Time-Frequency Domain Analysis of Power Quality Mixed Disturbance Signals: Using EEMD and MIST ( figure 2 ) after processing the signal, 9 time-frequency domain feature quantities suitable for mixed disturbance classifi...

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Abstract

The invention discloses a method for classifying electric energy quality mixed disturbances based on multi-feature quantity of time-frequency domain. Voltage dip, voltage swell, short-term voltage interruption, impulsive transient, oscillatory transient, harmonic waves and flickering electric energy quality disturbances and mixed disturbances of a combination thereof are classified. The method for classifying the electric energy quality mixed disturbances concretely comprises the steps of: firstly, processing a disturbance signal by using an EEMD (Ensemble Empirical Mode Decomposition) and MIST (modified incomplete S-transform), and extracting nine time-frequency domain characteristic values; and then, inputting characteristic quantity to a blocked automatic classifying system to recognize the disturbances. By using the method, the mutual interference among single disturbances is fully considered and is effectively inhibited through the complementary time-frequency domain characteristic values. A simulation result shows that, under conditions of certain noises, the method can be used for effectively classifying the voltage dip, the voltage swell, the short-term voltage interruption, the impulsive transient, the oscillatory transient, the harmonic waves and the flickering electric energy quality disturbances and the mixed disturbances of the combination thereof.

Description

technical field [0001] The invention relates to a new method for classifying power 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 difficult to solv...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
Inventor 刘志刚张杨张桂南张巧革
Owner SOUTHWEST JIAOTONG UNIV
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