Time-Frequency Analysis Method in the Transient Power Quality Disturbance Analysis Application

2014 ◽  
Vol 700 ◽  
pp. 99-102
Author(s):  
Meng Da Li ◽  
Yu Bo Duan ◽  
Yan Wang
Keyword(s):  
Power Quality ◽  
Signal Interference ◽  
Time Frequency ◽  
Quality Signal ◽  
Power Quality Disturbance ◽  
Analysis Application ◽  
Disturbance Analysis ◽  
Realistic Significance ◽  
Transient Power Quality

This paper uses the method of S transformation to test the starting time, the end of the time, frequency and amplitude characteristics of common transient power quality signal disturbance. Through error analysis and simulation show that this method can accurately determine the disturbance occurred time and duration, and the identification and determination of disturbance can be simple and intuitive. It has the practical value and realistic significance to power quality signal interference analysis.

Denoising Power Quality Signal Using Savitzky-Golay Based on Virtual Instrument

2013 ◽  
Vol 655-657 ◽  
pp. 974-977
Author(s):  
Han Sheng Yang
Keyword(s):  
Power Quality ◽  
Virtual Instrument ◽  
Classification Rate ◽  
Denoising Method ◽  
Quality Signal ◽  
Power Quality Monitoring ◽  
Power Quality Disturbance ◽  
Detection And Localization ◽  
Transient Power Quality

In power quality monitoring system, there are unavoidably existing various kinds of noises in collected data，the presence of noise may result in increased false classification rate, denoising is an extremely important work for detection and classification of power quality disturbances. In order to improve the denoising result of power quality signal, an denoising method for power quality signal using Savitzky-Golay is proposed. Numerical results show that the proposed method can eliminate the influence of noise components and implement transient power quality disturbance detection and localization, thus providing good foundations for transient power quality disturbance monitoring under noise environment.

Transient Power Quality Disturbances Identification and Classification Using Wavelet and Support Vector Machines

2012 ◽  
Vol 433-440 ◽  
pp. 1071-1077
Author(s):  
Wen Sheng Sun ◽  
Xiang Ning Xiao ◽  
Shun Tao ◽  
Jian Wang
Keyword(s):  
Wavelet Transform ◽  
Support Vector Machines ◽  
Power Quality ◽  
Support Vector ◽  
Time Frequency ◽  
Vector Machines ◽  
Power Quality Disturbance ◽  
Time Frequency Localization ◽  
Power Quality Disturbances ◽  
Transient Power Quality

Based on wavelet transform and support vector machines, a method of recognition and classification of transient power quality disturbance is presented. Using wavelet transform time-frequency localization characteristics, according to the principle of modulus maxima, realize the automatic detection positioning. After multi-resolution signal decomposition of PQ disturbances, multi-scale information in frequency domain and time domain of the signal can be extracted as the characteristic vectors. After choose and optimization of the eigenvectors based on the method of F-score, support vector machines are used to classify these eigenvectors of power quality disturbances. Effectiveness of the proposed method is verified through Matlab simulation.

Power Quality Disturbance Research of Grid-Connected Wind Generation Based on Fractional Fourier Transform with Wavelet Entropy

2011 ◽  
Vol 130-134 ◽  
pp. 1600-1604
Author(s):  
Hua Li Chen ◽  
Yun Lian Sun
Keyword(s):  
Fourier Transform ◽  
Power System ◽  
Power Quality ◽  
Fractional Fourier Transform ◽  
Wind Generation ◽  
Wavelet Entropy ◽  
Time Frequency ◽  
System A ◽  
Power Quality Disturbance ◽  
Simulation Results

In the process of connected wind generation with the power grid, the classification and recognition of power quality disturbance signals which are researched by the scholars at home and abroad are always the hot issues in Power System. A new method using Fractional Fourier Transform (FRFT) with Wavelet Entropy is presented for recognizing the signals of PQ disturbance based on the characteristics of power quality (PQ) signals. FRFT have better time-frequency aggregation and can choose better domain instead of and make PQ disturbance recognize more accurately with wavelet entropy. Simulation results demonstrate its effectiveness.

Study on Transient Power Quality Disturbance and Detection Method

2012 ◽  
Vol 203 ◽  
pp. 313-316
Author(s):  
Bo Yong Lu
Keyword(s):  
Power Quality ◽  
Detection Method ◽  
Electrical Energy ◽  
Control Methods ◽  
Testing Methods ◽  
Power Sector ◽  
Power Quality Disturbance ◽  
Scientific Testing ◽  
Transient Power Quality

Nowadays, in electrical energy, transient power quality disturbance issue is one of the “stubborn problems” that plagued the power sector and users. This paper focuses on analyzing the causes and effects of transient power quality disturbance, sequentially finds out scientific testing methods and sums up its control methods.

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