access icon free Three-phase transient state estimation algorithm for distribution systems

The detection of the source and severity of disturbances is important as this allows network companies to respond faster and remediate the problem more quickly. After an event, knowledge of the severity of a disturbance at various busbars gives understanding of what equipment was subjected to and an indication of possible improvements needed to mitigate further events. Owing to the cost, it is impractical to fully monitor the network, however, with judicious selection of measurement points, and using state estimation techniques, allows information at unmonitored locations to be determined. Hence, a cost effective detection system can be developed. This study documents a new three-phase transient state estimation algorithm and demonstrates its performance with realistic background harmonic voltage distortion and with measurement error. The transient state estimation is based on the numerical integrator substitution method (Dommel's method for discretising the differential equations).

Inspec keywords: busbars; power system state estimation; power distribution faults; integration; power system transients

Other keywords: numerical integrator substitution method; judicious measurement point selection; disturbance severity detection; cost effective detection system; realistic background harmonic voltage distortion; Dommel method; distribution systems; three-phase transient state estimation algorithm; busbars; disturbance source detection; measurement error

Subjects: Numerical integration and differentiation; Power systems; Distribution networks

References

    1. 1)
    2. 2)
      • 29. Press, W.H.: ‘Numerical recipes: the art of scientific computing’ (Cambridge University Press, Cambridge, UK, New York, 2007, 3rd edn.).
    3. 3)
      • 6. Heydt, G.T.: ‘Electric power quality’ (Stars in a Circle Publications, 1991, 2nd Edn.).
    4. 4)
    5. 5)
      • 9. Watson, N.R., Yu, K.K.C.: ‘Transient state estimation’. Proc. 13th Int. Conf. on Harm and Quality of Power, 2008, pp. 16.
    6. 6)
    7. 7)
      • 25. Pegoraro, P.A., Sulis, S.: ‘On the robustness in distribution system state estimation’. IEEE Int. Instrumentation and Measurement Technology Conf. (I2MTC), 2012, 13–16 May 2012, pp. 776780.
    8. 8)
    9. 9)
      • 1. Tan, T.L., Chen, S., Choi, S.S.: ‘An overview of power quality state estimation’. Seventh Int. Power Engineering Conf., 2005, pp. 1276.
    10. 10)
      • 10. Yu, K.K.C., Watson, N.R.: ‘Identification of fault locations using transient state estimation’. Proc. Int. Power Syst. Transient, Montreal, 2005.
    11. 11)
      • 14. Martinez, J.A.: ‘Time domain electromagnetic transients programs’, IEEE Power Eng. Soc. Summer Meeting, 2000, 2, pp. 763764.
    12. 12)
      • 7. Watson, N.R., Arrillaga, J.: ‘Power systems electromagnetic transients simulation’ (IEE, London, 2002).
    13. 13)
    14. 14)
    15. 15)
      • 3. Arrillaga, J., Watson, N.R., Chen, S.: ‘Power system quality assessment’ (Wiley, 2000).
    16. 16)
      • 24. Mutanen, A., Repo, S., Jarventausta, P., Lof, A., Giustina, D.D.: ‘Testing low voltage network state estimation in RTDS environment’. Innovative Smart Grid Technologies Europe (ISGT EUROPE), 2013 4th IEEE/PES, 6–9 October 2013, pp. 15.
    17. 17)
    18. 18)
      • 30. Cigre Task Force C4.102: ‘Voltage Dip Evaluation and Prediction Tools’, 2009.
    19. 19)
    20. 20)
      • 4. Arrillaga, J., Arnold, C.P., Harker, B.J.: ‘Computer modelling of electrical power systems’ (Wiley, Chichester, UK, 1983).
    21. 21)
      • 15. Dommel, H.W.: ‘Electromagnetic transients program reference manual’ (Bonneville Power Administration, Portland, 1986).
    22. 22)
    23. 23)
    24. 24)
      • 18. Farzanehrafat, A., Watson, N.R., Perera, S.: ‘The use of transient state estimation for voltage dip/sag assessment’. IEEE Int. Conf. on Power System Technology (POWERCON), Auckland, 30 October–02 November 2012, pp. 16.
    25. 25)
    26. 26)
      • 16. Martinez-Velasco, J.A.: ‘Power system transients’ (CRC Press, Boca Raton, 2010).
    27. 27)
      • 28. Yu, K.K.C., Watson, N.R.: ‘Three-phase harmonic state estimation using SVD for partially observable systems’. Proc. Int. Conf. on Power System and Technology, 2004, vol. 1, pp. 2934.
    28. 28)
      • 19. Watson, N.R., Farzanehrafat, A.: ‘Identification of the sources of transient disturbances’. IPST 2013, Vancouver, 21–25 July 2013.
    29. 29)
    30. 30)
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-gtd.2013.0755
Loading

Related content

content/journals/10.1049/iet-gtd.2013.0755
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading