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Analysis of Synchrophasor Estimatioo Errors

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This papers discusses the analytical analysis of the syochrophasor estimation employed in electrical systems. Short time Fourier trsnsform with the phase locked loop and Taylor Fourier series are analyzed for signals relating to different states which may occor in real power systems. The object is the accurate phasor estimation regardless of the shape of input signal, what for some signal types is cumbersome. As a result of active and reactive power disturbance in a power system, the frequency deviation and amplitude fluctuations may appear in power system signals. As a consequences of short circuits or overvoltages signal changes occur. Ibis leads to unacceptable errors in short time Fourier transform resulting from Fourier transform properties. This paper presents character of occurring errors and their consequences individually for any signal deviation.
Rocznik
Tom
Strony
5--22
Opis fizyczny
Bibliogr. 10 poz., rys.
Twórcy
autor
  • Wroclaw University of Science and Technology, Department of Electrical Power Engineering, Wybrzeże Wyspianskiego 27, 50-370 Wroclaw, Poland
autor
  • Wroclaw University of Science and Technology, Department of Electrical Power Engineering, Wybrzeże Wyspianskiego 27, 50-370 Wroclaw, Poland
Bibliografia
  • [1] IEEE Standard for Synchrophasor Measurements for Power Systems, IEEE Standard C37.118.1-2011, Dec. 2011.
  • [2] MACII D., BARCHI G., PETRI D., Design Criteria of Digital Filters for Synchrophasor Estimation, Instrumentation and Measurement Technology Conference (I2MTC), 2013 IEEE International, Minneapolis, MN, USA, 2013.
  • [3] ROMANO P., PAOLONE M., Enhanced Interpolated-DFT for Synchrophasor Estimation in FPGAs: Theory, Implementation, and Validation of a PMU Prototype, IEEE Transactions on Instrumentation and Measurement, December 2014, Vol. 63, No. 12.
  • [4] ROSCOE A.J., ABDULHADI I.F., BURT G.M., P-Class Phasor Measurement Unit Algorithms Using Adaptive Filtering to Enhance Accuracy at OffNominal Frequencies, IEEE International Conference on Smart Measurements for Future Grids (SMFG), Bologna, Italy, 2011.
  • [5] ROSCOE A.J., ABDULHADI I.F., BURT G.M., P and M Class Phasor Measurement Unit
  • Algorithms Using Adaptive Cascaded Filters, IEEE Transactions on Power Delivery, July 2013, Vol. 28, No. 3.
  • [6] PLATAS-GARZ M., SERNA J., Dynamic Phasor and Frequency Estimates through Maximally Flat Differentiators, IEEE Transactions on Instrumentation and Measurement, July 2010, Vol. 59, No. 7.
  • [7] MAI R.K., HE Z.Y., FU L., KIRBY B., BO Z.Q., A Dynamic Synchrophasor Estimation Algorithm for Online Application, IEEE Transactions on Power Delivery, April 2010, Vol. 25, No. 2.
  • [8] BELEGA D., FONTANELLI D., PETRI D., Low-Complexity Least-Squares Dynamic Synchrophasor Estimation Based on the Discrete Fourier Transform, IEEE Transactions on Instrumentation and Measurement, December 2015, Vol. 64, No. 12.
  • [9] SERNA J., Synchrophasor Measurement with Polynomial Phase-Locked-Loop Taylor–Fourier Filters, IEEE Transactions on Instrumentation and Measurement, February 2015, Vol. 64, No. 2.
  • [10] FU L., ZHANG J., XIONG S., HE Z., MAI R., A Modified Dynamic Synchrophasor Estimation Algorithm Considering Frequency Deviation, IEEE Transactions on Smart Grid, March 2017, Vol. 8, No. 2.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-4c2174b9-603c-487f-8495-bbd8ae9c98df
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