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Intelligent Data Acquisition and Information Process Technologies
and Their Applications. Part II.




Vol. 19, Special Issue, February 2013, pp.13-18



Compression of Power Quality Data Based on Improved DCT Transform


Hua Ouyang, Hui Li, Mei Qian

School of Electrical Engineering, Naval University of Engineering, Wuhan 430033, China

E-mail: 78ouyang@163.com



Received: 4 December 2012   /Accepted: 15 January 2013   /Published: 19 February 2013

Digital Sensors and Sensor Sysstems


Abstract: Compression is the preprocessing work before power quality event data transmission and analysis. In this paper segmented discrete cosine transform (DCT) was used for power quality signal compression. For transient power quality event, such as short duration voltage variation, wavelet transform was used to detect the singularity of the signal firstly. Then the signal was divided into segments by singularities and DCT was performed following. The simulation results show that for stable power quality data, the compression effect of DCT is better than that of wavelet transform. And for short duration voltage variation signal, the compression effect of segmented DCT is better than that of direct DCT. Finally the experiment result was presented to prove the effection of above method.


Keywords: Power quality, Short duration voltage variation, Data compression, Wavelet transform, Segmented DCT.


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