Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

access icon free Kalman filter based incipient fault detection method for underground cables

An incipient and self-clearing arcing fault can be utilised as a precursor of an imminent permanent failure for monitoring of underground cables. Due to very short duration of the incipient faults, generally they cannot be detected by conventional protection relays. This study presents a new method for detection of incipient cable failures by using measured current and voltage at one end of the cable. The incipient faults are detected using an innovation signal calculated from the measured fault current via a Kalman filter. Upon change detection by the innovation signal, the change is checked for discriminating possible incipient fault from other similar conditions. The proposed method is evaluated using several simulations and field data collected from a real network. The results confirm that the method can achieve high accuracy and speed for detection of cables incipient faults.

References

    1. 1)
      • 13. Diaz, H., López, M.: ‘Fault location techniques for electrical distribution networks: a literature survey’. Proc. Fifth IASTED Int. Conf., 15–17 June 2005, pp. 311318.
    2. 2)
      • 2. Kojovic, L., Williams, C.W.J.: ‘Sub-cycle detection of incipient cable splice faults to prevent cable damage’. Proc. IEEE Power Engineering Society Summer Meeting, 2000, pp. 11751180.
    3. 3)
      • 16. Kumar, A.: ‘A neural network approach to the detection of incipient faults on power distribution feeders’, Middle-East J. Sci. Res., 2014, 20, (7), pp. 799803.
    4. 4)
    5. 5)
    6. 6)
    7. 7)
    8. 8)
    9. 9)
    10. 10)
      • 18. Dong, X., Yanling, Y., Zhongqiang, G., et al: ‘Analysis of cable failure modes and cable joint failure detection via sheath circulating current’. Proc. Electrical Insulation Conf. (EIC), 2014, pp. 294298.
    11. 11)
    12. 12)
      • 3. Kim, C., Bialek, T.: ‘Sub-cycle ground fault location-formulation and preliminary results’. Proc. IEEE/PES Power System Conf. Expo. (PSCE), March 2011, pp. 18.
    13. 13)
    14. 14)
      • 10. Butler-Purry, K.L., Cardoso, J.: ‘Characterization of underground cable incipient behavior using time-frequency multi-resolution analysis and artificial neural networks’. IEEE Power and Energy Society General Meeting – Conversion and Delivery of Electrical Energy in the 21st Century, 2008, pp. 186201.
    15. 15)
      • 15. Kasztenny, B., Voloh, I., Jones, C.G.: ‘Detection of incipient faults in underground medium voltage cables’. Annual Conf. for Protective Relay Engineers, 2008, pp. 349366.
    16. 16)
    17. 17)
    18. 18)
    19. 19)
    20. 20)
    21. 21)
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-gtd.2015.0040
Loading

Related content

content/journals/10.1049/iet-gtd.2015.0040
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address