Hilbert–Huang Transform Based Approach for Measurement of Voltage Flicker Magnitude and Frequency

AbstractVoltage flicker is a non-stationary waveform for which direct spectral analysis is not appropriate. To overcome this difficulty, a Hilbert–Huang transform based technique is proposed here. Hilbert–Huang transform is a new signal processing method that can be used in the analysis of non-linear and non-stationary signals. In the suggested method, the recorded voltage signal is decomposed into Hilbert–Huang transform components, namely the empirical mode decomposition and intrinsic mode function components. These components are used in the calculation of the frequency and amplitude of voltage flicker. The clear success of empirical mode decomposition in depicting envelope variations of a sinusoidal waveform has been the main motivation for the adoption of Hilbert–Huang transform in flicker analysis. Simulations are performed over waveforms, including single- and multiple-flicker frequencies and flicker with harmonic, voltage sag, and voltage swell. The waveforms are selected as pure sinusoids, as wel...

[1]  Yi Wang,et al.  Detection of Voltage Flicker Based on Mathematical Morphology Filter and Teager Energy Operator , 2006, 2006 International Conference on Power System Technology.

[2]  Jin-Feng Xu,et al.  The Application of Wavelet in the Short-Term Flicker Severity Calculation , 2008, 2008 International Symposium on Information Science and Engineering.

[3]  Cunxiang Yang,et al.  Analysis and Research of the Transient Composite Disturbance Signal of Power System Based on HHT , 2008, 2008 International Symposium on Intelligent Information Technology Application Workshops.

[4]  E.F. El-Saadany,et al.  Hilbert transform based control algorithm of the DG interface for voltage flicker mitigation , 2005, IEEE Transactions on Power Delivery.

[5]  Xiufang Jia,et al.  A method of tracking voltage flicker envelope real-time , 2009, 2009 IEEE Power & Energy Society General Meeting.

[6]  K. Srinivasan,et al.  Digital measurement of voltage flicker , 1991 .

[7]  E.F. El-Saadany,et al.  Online tracking of voltage flicker utilizing energy operator and Hilbert transform , 2004, IEEE Transactions on Power Delivery.

[8]  Ozgul Salor,et al.  Kalman filtering based approach for light flicker evaluation of power systems , 2011 .

[9]  Jianming Yu,et al.  Analysis of Harmonic and Inter-Harmonic Based on Hilbert-Huang Transform , 2009, 2009 International Conference on Computational Intelligence and Software Engineering.

[10]  A. A. Girgis,et al.  Measurement of voltage flicker magnitude and frequency using a Kalman filtering based approach , 1996, Proceedings of 1996 Canadian Conference on Electrical and Computer Engineering.

[11]  O. Ozgonenel,et al.  A new classification for power quality events in distribution systems , 2013 .

[12]  T. Wang,et al.  Comparing the applications of EMD and EEMD on time-frequency analysis of seismic signal , 2012 .

[13]  E. Gunther,et al.  Interharmonics in power systems , 2001, 2001 Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.01CH37262).

[14]  Unal Kurt,et al.  Feature vector extraction by using empirical mode decomposition for power quality disturbances , 2011, 2011 10th International Conference on Environment and Electrical Engineering.

[15]  D. G. Ece,et al.  Analysis of voltage flicker using Hilbert-Huang Transform , 2011, 2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU).

[16]  Adly A. Girgis,et al.  Measurement and prediction of voltage flicker magnitude and frequency , 1995 .

[17]  A. Testa,et al.  IEEE Recommended Practice— Adoption of IEC 61000-4-15:2010, Electromagnetic compatibility (EMC)—Testing and measurement techniques—Flickermeter— Functional and design specifications , 2011 .

[18]  Suleyman Baykut,et al.  EMD-based analysis and denoising of GPS data , 2009, 2009 IEEE 17th Signal Processing and Communications Applications Conference.

[19]  N. Huang,et al.  The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis , 1998, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[20]  L. Toivonen,et al.  Digital multirate algorithms for measurement of voltage, current, power and flicker , 1994 .

[21]  Chengyong Zhao,et al.  Analysis on measuring performance of three Flicker Detecting Methods , 2009, 2009 IEEE Power & Energy Society General Meeting.

[22]  O. Ozgonenel,et al.  Multi-class power quality disturbances classification by using ensemble empirical mode decomposition based SVM , 2011, 2011 7th International Conference on Electrical and Electronics Engineering (ELECO).

[23]  Peng Jianchun Method to Measure Voltage Flicker Based on Hilbert-Huang Transform , 2012 .