Analysis of real-world power quality disturbances employing time-frequency distribution

The traditional method for the analysis of power quality (PQ) disturbances is fast Fourier transform (FFT) which suffers from spectral leakage phenomenon, and results in erroneous assessment in the presence of nonstationary PQ disturbances. Also, it cannot provide any time information as PQ indices are computed in the frequency domain only. Regarding the limitations of the FFT, in this paper Page time-frequency distribution (TFD) method is utilized for the analysis of three-phase nonstationary, nonsinusoidal, and unbalanced PQ disturbances. Utilizing the Page TFD technique, PQ indices such as effective rms voltage and current, apparent power, active power and power factor are redefined in the time-frequency domain, and the efficacy of the proposed method is evaluated by applying it to a synthetic and two real-world PQ disturbances provided by National Renewable Energy Laboratory (NREL). The analysis results show that the proposed method provides more accurate results than the FFT, and time-varying signature of the real-world PQ disturbances under nonstationary, nonsinusoidal, and unbalanced operating conditions.

[1]  A. Cataliotti,et al.  A Time-Domain Strategy for the Measurement of IEEE Standard 1459-2000 Power Quantities in Nonsinusoidal Three-Phase and Single-Phase Systems , 2008, IEEE Transactions on Power Delivery.

[2]  Yong-June Shin,et al.  Sub-synchronous resonance mitigation in wind farms using gate-controlled series capacitor , 2013, 2013 4th IEEE International Symposium on Power Electronics for Distributed Generation Systems (PEDG).

[3]  G. Carpinelli,et al.  Adaptive Prony Method for the Calculation of Power-Quality Indices in the Presence of Nonstationary Disturbance Waveforms , 2009, IEEE Transactions on Power Delivery.

[4]  T. Thayaparan Time-Frequency Signal Analysis , 2014 .

[5]  Charles W. Brice,et al.  Time-frequency-based assessment of grid frequency deviation caused by wind power fluctuations , 2015, IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society.

[6]  Moinul Islam,et al.  Advanced Digital Signal Processing Based Redefined Power Quality Indices, and Their Applications to Wind Power , 2014 .

[7]  Miodrag D. Kusljevic,et al.  An Adaptive Resonator-Based Method for Power Measurements According to the IEEE Trial-Use Standard 1459–2000 , 2010, IEEE Transactions on Instrumentation and Measurement.

[8]  Yong-June Shin,et al.  Power quality impact of wind turbine generators on the electrical grid , 2012, 2012 IEEE Energytech.

[9]  Yong-June Shin,et al.  Time-frequency based power quality analysis of variable speed wind turbine generators , 2013, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society.

[10]  Md Kamal Hossain,et al.  Transient Stability Augmentation of PV/DFIG/SG-Based Hybrid Power System by Nonlinear Control-Based Variable Resistive FCL , 2015, IEEE Transactions on Sustainable Energy.

[11]  Yong-June Shin,et al.  SSR Damping in Fixed-Speed Wind Farms Using Series FACTS Controllers , 2016, IEEE Transactions on Power Delivery.

[12]  M.E. El-Hawary,et al.  Wavelet Packet Transform-Based Power Quality Indices for Balanced and Unbalanced Three-Phase Systems Under Stationary or Nonstationary Operating Conditions , 2009, IEEE Transactions on Power Delivery.

[13]  Mj Martin Bastiaans Time-frequency signal analysis , 2008 .

[14]  Mehrdad Moallem,et al.  Agent-based real-time coordination of power converters in a DC shipboard power system , 2015, 2015 IEEE Electric Ship Technologies Symposium (ESTS).

[15]  Yong-June Shin,et al.  Time-Frequency-Based Instantaneous Power Components for Transient Disturbances According to IEEE Standard 1459 , 2015, IEEE Transactions on Power Delivery.