Study on Compressing Data for Three-Phase Power Based on Adaptive Two-Dimensional Wavelet Packet

Mei Ju Liu; Xu Zhang; Zi Long Bai; Meng Hua Gu

doi:10.4028/www.scientific.net/AMM.556-562.1798

Paper Titles

Research of Harmonic Reuse by Fundamental Resonant Method
p.1782

Research of Stabilization of Voltage in Substation Based on SVC in TCR and FC Mode
p.1786

Study on Main Circuit Mathematical Model and Control Method of Advanced Static Var Generator
p.1789

Electromagnetic Compatibility of PCB Based on Electromagnetic Simulation Methods
p.1794

Study on Compressing Data for Three-Phase Power Based on Adaptive Two-Dimensional Wavelet Packet
p.1798

The Researching of a Power Supply Design Scheme for T/R Assemblies
p.1802

Design of High-Power LED Drive Circuit with Economical High Power Factor Based on NCP1200
p.1806

Research on AC Electronic Load
p.1811

Research on Microgrid Frequency Control With Droop Characteristic Based on Lagrange Interpolation
p.1814

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 556-562Study on Compressing Data for Three-Phase Power...

Study on Compressing Data for Three-Phase Power Based on Adaptive Two-Dimensional Wavelet Packet

Abstract:

This paper presents a method based on adaptive two-dimensional wavelet packet for three-phase power quality data. In this paper, we shall briefly introduce the method of dq0 transformation. First, the original data is converted by the method of dq0 transformation, its purpose may be to eliminate redundancy between the three-phases alternating data, then change the one-dimensional date converted into a two-dimensional matrix by the integral multiple of cycles, which aims to eliminate redundant between cycles. Finally, use the method of two-dimensional adaptive wavelet packet decomposition, image SPIHT coding and DEFLATE coding to compress the data. The simulation result shows that the algorithm effectively compress the three-phase power quality data, and it has a good compression effect.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 556-562)

Pages:

1798-1801

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.556-562.1798

Citation:

Cite this paper

Online since:

May 2014

Authors:

Mei Ju Liu*, Xu Zhang, Zi Long Bai, Meng Hua Gu

Keywords:

Compression Data for Three-Phase Power, Dq0 Transformation, MATLAB Simulation, Two-Dimensional Wavelet Packet Transformation

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Mallat S, Hwang W L: Singularity Detection and Processing with Wavelets. (IEEE Trans. On Information Theory, 1992), P. 617-643.

DOI: 10.1109/18.119727

Google Scholar

[2] I. Daubechies, Ten Lectures on Wavelets, SLAM, Philadelphia, Pennsylvania, (1992).

Google Scholar

[3] Gaing Z L: Wavelet-based neural network for power disturbance recognition and classification. ( IEEE Trans on Power Delivery, 2004), P. 560–568.

DOI: 10.1109/tpwrd.2004.835281

Google Scholar

[4] Donoho D L: De-noising by soft-thresholding. ( IEEE Trans. on Information Theory, 1995),P. 612-627.

DOI: 10.1109/18.382009

Google Scholar

[5] Kang Shanlin, Song Yuhai and Kang Yuzhe: Application of Adaptive Wavelet Network for Power Quality Disturbance Recognition and Analysis, 2007, P. 38-44.

DOI: 10.1109/icemi.2007.4350949

Google Scholar

[6] Littler T B, Morrow D J: Wavelets for analysis and compression of power system disturbances. (IEEE Trans. On Power Delivery, 1999), P. 359-363.

DOI: 10.1109/61.754074

Google Scholar