Real-Time Power-Quality Monitoring With Hybrid Sinusoidal and Lifting Wavelet Compression Algorithm

• Published in: IEEE transactions on power delivery Vol. 27; no. 4; pp. 1718 - 1726
• Main Authors: Tse, N. C. F., Chan, J. Y. C., Wing-Hong Lau, Poon, J. T. Y., Lai, L. L.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.10.2012; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Applied sciences; Electric power generation; Electrical engineering. Electrical power engineering; Electrical power engineering; Exact sciences and technology; Harmonic analysis; Integer lifting wavelet transform; Longitudinal waves; Measuring instruments; Meters; Operation. Load control. Reliability; Power electronics, power supplies; Power networks and lines; power-quality (PQ) monitoring; Prototypes; Real time; Real time systems; Signal processing algorithms; Signal to noise ratio; smart meter; waveform compression; Waveforms; Wavelet transforms; Performance evaluation; Waveform; Wireless LAN; Prototype; Data compression; Field experiment; Implementation; Integer lifting wavelet transform; power-quality (PQ) monitoring; Energy quality; Cost lowering; smart meter; waveform compression; Power electronics; Low power; Algorithm; Velocity sensor; Compression ratio; Wavelet transformation; Quality control; Network protocol; Low-power electronics; Effectiveness factor; Digital signal processor; Sensor array; Service quality
• ISSN: 0885-8977; 1937-4208
• DOI: 10.1109/TPWRD.2012.2201510

This paper presents a novel algorithm for real-time continuous electrical waveform compression and transmission. The proposed algorithm achieves a high data compression ratio by processing the stationary and non-stationary components of a power waveform separately. It works on integer data which simplifies the computation process, and can be run on a low-cost digital signal processor. The proposed algorithm has been implemented on a prototype meter successfully. Experimental and extensive field tests have confirmed the effectiveness of the algorithm. The prototype smart meter can communicate through a low-power, low-bit-rate sensor network protocol such as ZigBee.