A Frequency-Domain Algorithm for Dynamic Synchrophasor and Frequency Estimation

Next-generation phasor measurement units (PMUs) are expected to play a key role for monitoring the behavior of future smart grids. While most of the PMUs used nowadays in transmission networks rely on static phasor models, more sophisticated representations and stricter accuracy requirements are needed to track amplitude, phase, and frequency changes of power waveforms in strongly dynamic scenarios as those expected in future distribution systems. In this paper, a discrete Fourier transform (DFT)-based algorithm based on a dynamic phasor model (referred to as interpolated dynamic DFT-based synchrophasor estimator) is used to estimate not only amplitude and phase of the collected waveforms, but also their frequency and rate of change of frequency. The performances of the proposed method are evaluated through multiple simulations in different steady-state and transient conditions described in the Standard IEEE C37.118.1-2011.

[1]  Lorenzo Peretto,et al.  The role of measurements in the smart grid era , 2010, IEEE Instrumentation & Measurement Magazine.

[2]  D. Petri,et al.  An improved dynamic synchrophasor estimator , 2012, 2012 IEEE International Energy Conference and Exhibition (ENERGYCON).

[3]  Daniel Belega,et al.  A DFT-based synchrophasor, frequency and ROCOF estimation algorithm , 2013, 2013 IEEE International Workshop on Applied Measurements for Power Systems (AMPS).

[4]  Dario Petri,et al.  Design criteria of digital filters for synchrophasor estimation , 2013, 2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).

[5]  Daniel Belega,et al.  Accuracy Analysis of the Multicycle Synchrophasor Estimator Provided by the Interpolated DFT Algorithm , 2013, IEEE Transactions on Instrumentation and Measurement.

[6]  Dario Petri,et al.  Accuracy Analysis and Enhancement of DFT-Based Synchrophasor Estimators in Off-Nominal Conditions , 2012, IEEE Transactions on Instrumentation and Measurement.

[7]  D. Carty,et al.  PMUs and their potential impact on real-time control center operations , 2010, IEEE PES General Meeting.

[8]  A.H. Nielsen,et al.  Monitoring of power system events at transmission and distribution level , 2006, IEEE Transactions on Power Systems.

[9]  G. M. Burt,et al.  P and M Class Phasor Measurement Unit Algorithms Using Adaptive Cascaded Filters , 2013, IEEE Transactions on Power Delivery.

[10]  Farrokh Albuyeh,et al.  Grid of the future , 2009, IEEE Power and Energy Magazine.

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

[12]  Daniel Belega,et al.  Performance of Synchrophasor Estimators in Transient Conditions: A Comparative Analysis , 2013, IEEE Transactions on Instrumentation and Measurement.

[13]  Daniel Belega,et al.  Fast Synchrophasor Estimation by Means of Frequency-Domain and Time-Domain Algorithms , 2014, IEEE Transactions on Instrumentation and Measurement.

[14]  José Antonio de la O. Serna,et al.  Maximally flat differentiators through WLS Taylor decomposition , 2011, Digit. Signal Process..

[15]  José Antonio de la O. Serna,et al.  Dynamic Phasor Estimates for Power System Oscillations , 2007, IEEE Transactions on Instrumentation and Measurement.

[16]  Nikos D. Hatziargyriou,et al.  Integrating distributed generation into electric power systems: A review of drivers, challenges and opportunities , 2007 .

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

[18]  Junqi Liu,et al.  PMU and smart metering deployment for state estimation in active distribution grids , 2012, 2012 IEEE International Energy Conference and Exhibition (ENERGYCON).

[19]  M. Paolone,et al.  Synchronized phasors monitoring during the islanding maneuver of an active distribution network , 2010, 2010 Innovative Smart Grid Technologies (ISGT).

[20]  Graeme M. Burt,et al.  P-Class Phasor Measurement Unit algorithms using adaptive filtering to enhance accuracy at off-nominal frequencies , 2011, 2011 IEEE International Conference on Smart Measurements of Future Grids (SMFG) Proceedings.

[21]  Alessandra Flammini,et al.  An IEC 61850-Compliant distributed PMU for electrical substations , 2012, 2012 IEEE International Workshop on Applied Measurements for Power Systems (AMPS) Proceedings.

[22]  Graeme M. Burt,et al.  Filters for M class Phasor Measurement Units , 2012, 2012 IEEE International Workshop on Applied Measurements for Power Systems (AMPS) Proceedings.

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

[24]  Dario Petri,et al.  Synchrophasor Estimators Accuracy: A Comparative Analysis , 2013, IEEE Transactions on Instrumentation and Measurement.