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Sensors 2016, 16(7), 946; doi:10.3390/s16070946

Resolution-Enhanced Harmonic and Interharmonic Measurement for Power Quality Analysis in Cyber-Physical Energy System

State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing 100084, China
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Received: 29 March 2016 / Revised: 12 June 2016 / Accepted: 16 June 2016 / Published: 27 June 2016
(This article belongs to the Special Issue Real-Time and Cyber-Physical Systems)
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Abstract

Power quality analysis issues, especially the measurement of harmonic and interharmonic in cyber-physical energy systems, are addressed in this paper. As new situations are introduced to the power system, the impact of electric vehicles, distributed generation and renewable energy has introduced extra demands to distributed sensors, waveform-level information and power quality data analytics. Harmonics and interharmonics, as the most significant disturbances, require carefully designed detection methods for an accurate measurement of electric loads whose information is crucial to subsequent analyzing and control. This paper gives a detailed description of the power quality analysis framework in networked environment and presents a fast and resolution-enhanced method for harmonic and interharmonic measurement. The proposed method first extracts harmonic and interharmonic components efficiently using the single-channel version of Robust Independent Component Analysis (RobustICA), then estimates the high-resolution frequency from three discrete Fourier transform (DFT) samples with little additional computation, and finally computes the amplitudes and phases with the adaptive linear neuron network. The experiments show that the proposed method is time-efficient and leads to a better accuracy of the simulated and experimental signals in the presence of noise and fundamental frequency deviation, thus providing a deeper insight into the (inter)harmonic sources or even the whole system. View Full-Text
Keywords: harmonics; interharmonics; resolution-enhanced; independent component analysis; adaptive linear neuron; power quality; cyber-physical energy system harmonics; interharmonics; resolution-enhanced; independent component analysis; adaptive linear neuron; power quality; cyber-physical energy system
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Liu, Y.; Wang, X.; Liu, Y.; Cui, S. Resolution-Enhanced Harmonic and Interharmonic Measurement for Power Quality Analysis in Cyber-Physical Energy System. Sensors 2016, 16, 946.

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