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Extraction Method of Time-Frequency Parameters of Power Quality Disturbance Signal Based on Fast k-s Transform

A technology of power quality disturbance and time-frequency parameters, which is applied in the direction of measuring electric variables, measuring electricity, measuring devices, etc., can solve the problems of inability to meet the accurate analysis of time-frequency characteristics of disturbance signals, poor practicability, poor implementability, etc.

Active Publication Date: 2016-09-14
HUNAN UNIV
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Problems solved by technology

However, there is no uniform standard for the Gauss window shape adjustment factor of the S transform, and the adaptive adjustment ability is poor, and it is difficult to achieve high time-frequency energy accumulation for complex distortion disturbance signals, and the time-frequency complex matrix has large information, complex operations, and poor implementation. Therefore, the S-transform cannot meet the requirements of accurate analysis of the time-frequency characteristics of the disturbance signal
[0010] The above analysis shows that the existing time-frequency analysis methods have single frequency domain or time domain information; the resolution is low, and the time-frequency information of the signal cannot be described in detail; the calculation is complicated, the practicability is poor, and it cannot balance comprehensiveness, real-time performance, and accuracy. , under the scope of engineering application

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  • Extraction Method of Time-Frequency Parameters of Power Quality Disturbance Signal Based on Fast k-s Transform
  • Extraction Method of Time-Frequency Parameters of Power Quality Disturbance Signal Based on Fast k-s Transform
  • Extraction Method of Time-Frequency Parameters of Power Quality Disturbance Signal Based on Fast k-s Transform

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Embodiment 1

[0091] The present embodiment comprises the following steps:

[0092] In step S201, the measured signal is sampled, and the power quality disturbance signal is input into the power system analyzer for sampling to obtain the measured signal x(n);

[0093] In step S202, fast K-S (Caesar-S) transformation: perform K-S transformation on the measured signal sampled in step (1) to obtain the characteristic frequency f m The corresponding disturbance signal K-S transform spectrum, the characteristic frequency is analyzed as f m The amplitude, phase, start and stop, and sudden change time of the corresponding disturbance signal;

[0094] (3) Repeat step (2) until all the characteristic frequencies f are calculated m The K-S transformation spectrum of the corresponding disturbance signal is completed, and the K-S transformation KS(τ,f) of the disturbance signal is completed, and the amplitude, phase, start and end, and sudden change time of all disturbance signals are analyzed;

[0...

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Abstract

The invention discloses a method for extracting time-frequency parameters of power quality disturbance signals on the basis of fast K-S (Kaiser-S) transformation. The method includes steps of (1), sampling the tested samples; (2), performing the fast K-S transformation on the tested signals; (3), repeating executing the step (2) until amplitudes, phases and start-stop and sudden-change moments of all the disturbance signals are analyzed, and extracting the time-frequency parameters of the power quality disturbance signals. Compared with the prior art, the method has the advantages that Kaiser windows replace Gauss windows for traditional S transformation, widths and heights of Kaiser window functions can be adaptively adjusted along with change of frequencies, and the energy accumulation and frequency adaptive adjustment capacity of time-frequency analysis of the traditional S transformation can be improved; the computational complexity can be reduced by means of judging characteristic frequencies; the method is wide in application range, and the fast K-S transformation and the method for extracting the time-frequency parameters of the power quality disturbance signals have a wide application prospect in fields of vibration signal analysis, fault diagnosis, pattern recognition, noise measurement and biomedical examination.

Description

technical field [0001] The invention relates to the field of power quality signal analysis, in particular to a method for extracting time-frequency parameters of power quality disturbance signals based on fast K-S transformation. Background technique [0002] According to the spectrum characteristics, duration, and amplitude changes of voltage disturbances, the power quality problems caused by various disturbances in power systems are mainly divided into two categories: steady-state events and transient events. Steady-state power quality problems mainly include harmonics, voltage fluctuations and flicker, frequency deviation, etc.; transient power quality problems mainly refer to the change of root mean square value of voltage over time in a short period of time caused by power system failure or large load changes Phenomena, including voltage swell, voltage sag, voltage interruption, transient oscillation, etc. [0003] The time-frequency parameters of the power quality dis...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/00G01R23/16
Inventor 滕召胜姚文轩唐求温和高云鹏杨宇祥谭霞左培丽王康张海焕何康宏成达李峰吴禹孟卓
Owner HUNAN UNIV
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