Accuracy Analysis of the Multicycle Synchrophasor Estimator Provided by the Interpolated DFT Algorithm

This paper investigates the accuracy of synchrophasor estimators provided by the interpolated discrete Fourier transform (IpDFT) algorithm under both steady-state and dynamic conditions when two- or three-cycle length observation intervals are considered. According to the IEEE Standard C37.118.1-2011 about synchrophasor measurements for power systems, the estimation accuracy is expressed by the total vector error (TVE). The effect on the estimation accuracy of different window functions, observation interval lengths, and processed DFT samples is analyzed through computer simulations. It is shown that most of the performance requirements specified in the Standard can be satisfied with a proper selection of the algorithm characteristics. Also, the performances of the proposed synchrophasor estimators and state-of-the-art estimators recently proposed in the scientific literature are compared and discussed. Some experimental results are presented in order to confirm the performed analysis.

[1]  Raul Carneiro Martins,et al.  Simulation and experimental results of multiharmonic least-squares fitting algorithms applied to periodic signals , 2006, IEEE Transactions on Instrumentation and Measurement.

[2]  T. Sidhu,et al.  A new half-cycle phasor estimation algorithm , 2005, IEEE Transactions on Power Delivery.

[3]  Dario Petri,et al.  A frequency-domain procedure for accurate real-time signal parameter measurement , 1990 .

[4]  B. Kasztenny,et al.  Development and Implementation of a Synchrophasor Estimator Capable of Measurements Under Dynamic Conditions , 2008, IEEE Transactions on Power Delivery.

[5]  Paolo Attilio Pegoraro,et al.  Performance comparison of algorithms for synchrophasors measurements under dynamic conditions , 2011, 2011 IEEE International Workshop on Applied Measurements for Power Systems (AMPS).

[6]  Kenneth E. Martin Synchrophasor Standards Development - IEEE C37.118 & IEC 61850 , 2011, 2011 44th Hawaii International Conference on System Sciences.

[7]  D. C. Rife,et al.  Use of the discrete fourier transform in the measurement of frequencies and levels of tones , 1970, Bell Syst. Tech. J..

[8]  Arun G. Phadke,et al.  Synchronized Phasor Measurements and Their Applications , 2008 .

[9]  Joe-Air Jiang,et al.  A Full- and Half-Cycle DFT-based technique for fault current filtering , 2010, 2010 IEEE International Conference on Industrial Technology.

[10]  José Antonio de la O. Serna,et al.  Dynamic Phasor and Frequency Estimates Through Maximally Flat Differentiators , 2010, IEEE Transactions on Instrumentation and Measurement.

[11]  T. Grandke Interpolation Algorithms for Discrete Fourier Transforms of Weighted Signals , 1983, IEEE Transactions on Instrumentation and Measurement.

[12]  A. Nuttall Some windows with very good sidelobe behavior , 1981 .

[13]  D. Petri,et al.  Accuracy of the synchrophasor estimator provided by the interpolated DFT algorithm , 2012, 2012 IEEE International Instrumentation and Measurement Technology Conference Proceedings.

[14]  Paolo Castello,et al.  Impact of the Model on the Accuracy of Synchrophasor Measurement , 2012, IEEE Transactions on Instrumentation and Measurement.

[15]  D. Petri,et al.  Interpolation techniques for real-time multifrequency waveform analysis , 1989, 6th IEEE Conference Record., Instrumentation and Measurement Technology Conference.

[16]  Daniel Belega,et al.  Statistical description of the sine-wave frequency estimator provided by the interpolated DFT method , 2012 .

[17]  D. Belega,et al.  Multifrequency signal analysis by Interpolated DFT method with maximum sidelobe decay windows , 2009 .

[18]  Dusan Agrez,et al.  Weighted multipoint interpolated DFT to improve amplitude estimation of multifrequency signal , 2002, IEEE Trans. Instrum. Meas..

[19]  D. Petri,et al.  The influence of windowing on the accuracy of multifrequency signal parameter estimation , 1992 .