Advertisement

Estimation of power system frequency using a recurrent scheme

  • Aamir Hussain ChughtaiEmail author
  • Muhammad Saqib Awan
Original Paper
  • 54 Downloads

Abstract

This paper presents a new numeric technique to estimate the operating power system frequency. The technique employs a recurrent scheme which consists of a tunable input FIR filter, frequency calculator and an averaging output filter. The recurrent structure ensures that power system frequency is efficiently tracked while minimizing signal distortions arising from harmonic and noise effects. The performance of the developed technique has been thoroughly investigated using computer simulations, and the results are provided. The effectiveness of the proposed technique is demonstrated by comparing it with three different methods reported in the literature. An experimental setup is successfully developed to evaluate the practical operation of the estimator corroborating the performance during simulations. It was confirmed that the proposed estimator performs well during static and dynamic conditions which makes it useful for the estimation of online power system frequency.

Keywords

Power system frequency Online frequency estimation Frequency tracking FIR filters Power system harmonics 

Notes

References

  1. 1.
    Salcic Z, Mikhael R (2000) A new method for instantaneous power system frequency measurement using reference points detection. Electr Power Syst Res 55(2):97–102CrossRefGoogle Scholar
  2. 2.
    Yang R, Xue H (2008) A novel algorithm for accurate frequency measurement using transformed consecutive points of DFT. Power Syst IEEE Transactions 23(3):1057–1062CrossRefGoogle Scholar
  3. 3.
    Yang J-Z, Liu C-W (2001) A precise calculation of power system frequency. Power Deliv IEEE Trans 16(3):361–366CrossRefGoogle Scholar
  4. 4.
    Kwon HJ, Markham Penn N (2014) Power system frequency estimation by reduction of noise using three digital filters. IEEE Trans Instrum Meas 63(2):402–409CrossRefGoogle Scholar
  5. 5.
    Nam S-R, Kang S-H, Kang S-H (2015) Real-time estimation of power system frequency using a three-level discrete fourier transform method. Energies 8(1):79–93CrossRefGoogle Scholar
  6. 6.
    Wu J.K (2004) Frequency tracking techniques of power systems including higher order harmonics. In: Devices, circuits and systems, 2004. Proceedings of the fifth IEEE international caracas conference on, vol 1, pp 298–303Google Scholar
  7. 7.
    Moore PJ, Carranza RD, Johns AT (1994) A new numeric technique for high-speed evaluation of power system frequency. Gener Transm Distrib IEE Proc 141(5):529–536CrossRefGoogle Scholar
  8. 8.
    Szafran J, Rebizant W (1998) Power system frequency estimation. Gener Transm Distrib IEE Proc 145(5):578–582CrossRefGoogle Scholar
  9. 9.
    Pei D, Xia Y (2019) Robust power system frequency estimation based on a sliding window approach. Math Probl Eng 2019(5):1–10MathSciNetGoogle Scholar
  10. 10.
    Antonio L, Montaño J-C, Castilla M, Jaime G, Dolores BM, Carlos BJ (2008) Power system frequency measurement under nonstationary situations. Power Deliv IEEE Trans 23(2):562–567CrossRefGoogle Scholar
  11. 11.
    Dash PK, Pradhan AK, Panda G (1999) Frequency estimation of distorted power system signals using extended complex Kalman filter. Power Deliv IEEE Trans 14(3):761–766CrossRefGoogle Scholar
  12. 12.
    Routray A, Pradhan AK, Rao KP (2002) A novel Kalman filter for frequency estimation of distorted signals in power systems. Instrum Meas IEEE Trans 51(3):469–479CrossRefGoogle Scholar
  13. 13.
    Shamim RM, Mihai C, Agelidis Vassilios G (2014) Power system frequency estimation by using a Newton-type technique for smart meters. IEEE Trans Instrum Meas 64(3):615–624Google Scholar
  14. 14.
    Karimi H, Karimi-Ghartemani M, Iravani MR (2004) Estimation of frequency and its rate of change for applications in power systems. Power Deliv IEEE Trans 19(2):472–480CrossRefGoogle Scholar
  15. 15.
    Mojiri M, Karimi-Ghartemani M, Bakhshai A (2007) Estimation of power system frequency using an adaptive notch filter. Instrum Meas IEEE Trans 56(6):2470–2477CrossRefGoogle Scholar
  16. 16.
    Khalili A, Rastegarnia A, Sanei S (2015) Robust frequency estimation in three-phase power systems using correntropy-based adaptive filter. IET Sci Meas Technol 9(8):928–935CrossRefGoogle Scholar
  17. 17.
    Ykhlef F (2018) Frequency estimation and tracking in electrical power systems. In: 2018 6th International conference on multimedia computing and systems (ICMCS), pp 1–4. IEEEGoogle Scholar
  18. 18.
    Pradhan AK, Routray A, Basak A (2005) Power system frequency estimation using least mean square technique. Power Deliv IEEE Trans 20(3):1812–1816CrossRefGoogle Scholar
  19. 19.
    Ray PK, Bengani S, Panda G (2015) Estimation of power system frequency using a modified non-linear least square technique. In: 2015 IEEE power and energy society general meeting, pp 1–5. IEEEGoogle Scholar
  20. 20.
    Halbwachs D, Wira P, Mercklé J (2009) Adaline-based approaches for time-varying frequency estimation in power systems. In: 2nd IFAC international conference on intelligent control systems and signal processing (ICONS 2009), pp 31–36CrossRefGoogle Scholar
  21. 21.
    Kartik KD, Prabhu E, Nithin S (2016) Frequency estimation of power system using CMAC artificial neural network. In: 2016 International conference on circuit, power and computing technologies (ICCPCT), pp 1–5. IEEEGoogle Scholar
  22. 22.
    Thomas DWP, Woolfson MS (2001) Evaluation of frequency tracking methods. Power Deliv IEEE Trans 16(3):367–371CrossRefGoogle Scholar
  23. 23.
    Backmutsky V, Blaska J, Sedlacek M (2000) Methods of finding actual signal period time. In: Proceedings of IMEKO 2000 World Congress, Vienna, vol 9, pp 243–248Google Scholar
  24. 24.
    IEC IEC (2002) 61000-4-7: Electromagnetic Compatibility (EMC). Testing and measurement techniques-general guide on harmonics and interharmonics measurements and instrumentation, for power supply systems and equipment connected thereto, CEI–IEC, GenevaGoogle Scholar
  25. 25.
    Süli E, Mayers DF (2003) An introduction to numerical analysis. Cambridge University Press, CambridgeCrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2020

Authors and Affiliations

  1. 1.EE DeptLahore University of Management SciencesLahorePakistan
  2. 2.EE DeptNational University of Computer and Emerging SciencesLahorePakistan

Personalised recommendations