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.

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.

Research of a New Power Quality Detection System Based on ARM

2014 ◽  
Vol 568-570 ◽  
pp. 1825-1833
Author(s):  
Yan Qing Peng ◽  
Feng Wang ◽  
Ji Zhang ◽  
Jia Li ◽  
Da Min Zhang
Keyword(s):  
Fourier Transform ◽  
Wavelet Transform ◽  
Steady State ◽  
Fast Fourier Transform ◽  
Power Quality ◽  
Detection System ◽  
Detection Algorithm ◽  
Detection Algorithms ◽  
Quality Detection ◽  
The Fourier Transform

Based on the comparative analysis of the fast Fourier transform (FFT), the short-time Fourier transform (STFT), the wavelet transform (WT) and other power quality detection algorithms, this paper puts forward to a new power quality detection algorithm which combines the Fourier transform with the wavelet transform. The transient as well as the steady state signals are separated on the basis that the wavelet transform is sensitive to the singular signals. The presented algorithm detects a variety of harmonic parameters of the gird after the separation of steady state signals is finished by fast Fourier transform. A new power quality detection system is then designed based on the core chip of S3C2440A, and the algorithm which is ARM-9 based is transplanted into the embedded Linux operating system to carry out the experiments. Analysis of the experimental data shows the detection algorithm is reliable by Fourier transform and wavelet transform.

DWT and Lifting Wavelet Transform Based Robust Watermarking for Color Image

2015 ◽  
Vol 10 (11) ◽  
pp. 1127
Author(s):  
Nidaa Hasan Abbas ◽  
Sharifah Mumtazah Syed Ahmad ◽  
Wan Azizun Wan Adnan ◽  
Abed Rahman Bin Ramli ◽  
Sajida Parveen
Keyword(s):  
Wavelet Transform ◽  
Color Image ◽  
Robust Watermarking ◽  
Lifting Wavelet Transform ◽  
Lifting Wavelet
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