Lifting Wavelet Detection Method of Transient Power Quality Disturbance for Power System Connected with Micro Grid

2014 ◽  
Vol 568-570 ◽  
pp. 274-277 ◽  
Author(s):  
Ping Qian ◽  
Yu Juan Wang ◽  
Yin Zhong Ye ◽  
Jin Sheng Liu
Keyword(s):  
Power System ◽  
Power Quality ◽  
Detection Method ◽  
Comparison Analysis ◽  
Lifting Wavelet Transform ◽  
Power Quality Disturbance ◽  
Lifting Wavelet ◽  
Micro Grid ◽  
Transient Power Quality ◽  
Detecting Method

Based on the power quality disturbance problems of the power system connected with micro grid, The detecting method of transient power quality disturbance is mainly studied, which based on lifting wavelet transform, after the analysis of lifting wavelet construction principle, the transient power quality disturbance detecting method based lifting db4 wavelet is put forward, the results of simulation and comparison analysis prove that the method can detect and locate the transient power quality disturbances quickly and accurately, so that ,an effective and feasible method is provided to the research of transient power quality disturbance problems brought by the connection between micro grid and power system.

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.

Based on Lifting Wavelet Voltage Sag Detection Algorithm and Achieve

2013 ◽  
Vol 378 ◽  
pp. 335-339
Author(s):  
Xin Liang Yin ◽  
Gui Tang Wang ◽  
Zhi Wen Feng ◽  
Xiong Hui Lai
Keyword(s):  
Wavelet Transform ◽  
Power Quality ◽  
Hardware Implementation ◽  
Detection Algorithm ◽  
Voltage Sag ◽  
Lifting Wavelet Transform ◽  
Voltage Sag Detection ◽  
Lifting Wavelet ◽  
The Fourier Transform ◽  
Transient Power Quality

Voltage sag belongs to a kind of transient power quality problems, it possesses short mutations, non-stationary characteristics and the detection on the interference is difficult. Wavelet transform is a better signal analysis method and it is very suitable for analysis of mutations in the signal. Compared with traditional wavelet transform algorithm, Wavelet transform algorithm does not depend on the ascension of the Fourier transform and it reduces the computation complexity, so it is very suitable for hardware implementation. This paper introduces a design based on 9/7 of lifting wavelet transform of the voltage sag detection algorithm, and realized in the FPGA and modeling the transient power quality signal in the Matlab. To make hardware implementation easier, a series of optimization to the coefficient of ascension of 9/7 of lifting wavelet transform was carried out. The results show that 9/7 of the lifting wavelet transform algorithm can effectively test the end time of the voltage sag happens.

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.

Disturbance Detection Method of Power Quality Based on Mathematical Morphology and Lifting Wavelet

2014 ◽  
Vol 644-650 ◽  
pp. 1205-1208 ◽  
Author(s):  
Xiao Fei Wang ◽  
Xia Chen ◽  
Ning Xia Yang ◽  
Xiao Jing Zhang ◽  
Ya Chao Hu
Keyword(s):  
Power Quality ◽  
Mathematical Morphology ◽  
Impulse Noise ◽  
Detection Method ◽  
Random Noise ◽  
Quality Detection ◽  
Lifting Wavelet ◽  
Simulation Results ◽  
Disturbance Detection ◽  
Detection Principle

Considering in the progress of the power quality detection for disturbance signal, detected signals are often has the problem of random noise and impulse noise, in this paper, by using traditional wavelet de-noising, put forward a detection method of disturbance signal based on mathematical morphology and lifting wavelet, discussed its detection principle and implementation methods. Simulation results show that the method de-noising effect is obvious, can effectively improve the accuracy of the disturbance signal judgment.

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.

Sign in / Sign up

Export Citation Format

Share Document