The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON POWER SYSTEMS
Transactions ID Number: 29-391
Full Name: Shu-chen Wang
Position: Associate Professor
Age: ON
Sex: Female
Address: No. 212. Sec. 9, Yen-Ping N. Rd., Taipei
Country: TAIWAN
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E-mail address: scwang@mail.tcmt.edu.tw
Other E-mails: cjwu@mail.ntust.edu.tw
Title of the Paper: Tracking of Fluctuating Load Power Quality Using Normalized Embedded Zero-tree Wavelet Coding Considering Data Compression
Authors as they appear in the Paper: Shu-chen Wang, Cheng-ping Huang, Chi-jui Wu
Email addresses of all the authors: scwang@mail.tcmt.edu.tw,cjwu@mail.ntust.edu.tw
Number of paper pages: 11
Abstract: In this paper, the data compression technique using the normalized embedded zero-tree wavelet (NEZW) coding is presented for the long-duration monitoring of a DC electric arc furnace and a railroad tracking load. For those power quality disturbing loads, harmonics, voltage fluctuation, and loading fluctuation are critical and stochastic load characteristics. In the power quality measurement, while keep enough stochastic load information, it is desired to reduce data size in long duration recording of voltage and current waveforms. The effects of multi-resolution analysis levels and threshold values in the NEZW coding are investigated. From the calculation results of field measurement data, the NEZW coding almost preserves the values of voltage fluctuation and power quantities. For storage of the field measurement voltage and current waveforms, the NEZW coding can not only greatly reduce data size, but it also can preserve sufficient load information.
Keywords: Electric power quality, Data compression, Discrete wavelet transform, Multi-resolution analysis, Normalized embedded zero-tree wavelet coding.
EXTENSION of the file: .pdf
Special (Invited) Session: Normalized embedded zero-tree wavelet coding applied in tracking dc arc furnace characteristics considering Data Compression
Organizer of the Session: 613-433
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