Electrical Engineering

, Volume 100, Issue 2, pp 499–508 | Cite as

Condition monitoring of power components in electric grid using electromagnetic stray fields

Original Paper
  • 90 Downloads

Abstract

Monitoring and fault detection of the power components in power grid through radiated fields are proposed in this paper. The frequency response of electromagnetic radiated fields from the components was measured through low-frequency antennas and signal analyzer. Proper algorithms are developed for the identification of the components as well as the detection of faults and failures. These algorithms are designed based on the active performance of the components including induction, DC and synchronous machines as well as power converters. More than 150 tests of various combinations of the components and their conditions were implemented to fulfill this identification. The results show that the proposed technique demonstrates reliable monitoring of the components. Since there is no need to dismantle the components to detect the faults in this method, it can be considered as nonintrusive for industry. Moreover, this method can be used for applications in which it may be impossible to access the parameters of the components for online monitoring.

Keywords

Electromagnetic signature Electric drives Fault location Harmonics System monitoring 

Notes

Acknowledgements

Part of this work was supported by a grant from the Office of Naval Research.

References

  1. 1.
    Lin W-M et al (2005) Multiple harmonic source detection and equipment identification with cascade correlation network. IEEE Trans Power Deliv 20(3):2166–2173CrossRefGoogle Scholar
  2. 2.
    Testa A et al (2007) Interharmonics: theory and modeling. IEEE Trans Power Deliv V22(4):2335–2348CrossRefGoogle Scholar
  3. 3.
    Fiori S, Faba A, Albini L, Cardelli E, Burrascano P (2003) Numerical modeling for the localization and the assessment of electromagnetic field sources. IEEE Trans Magn 39(3):1638–1641CrossRefGoogle Scholar
  4. 4.
    Weishi M, Jianhua W, Qing K (2016) Harmonic and inter-harmonic detection based on synchrosqueezed wavelet transform. In: IEEE information technology, networking, electronic and automation control conference, pp 428-432Google Scholar
  5. 5.
    Karimi MK, Iravani MR (2005) Measurement of harmonics/inter-harmonics of time-varying frequencies. IEEE Trans Power Deliv 20(1):23–31CrossRefGoogle Scholar
  6. 6.
    Nassif AB, Yong J, Mazin H, Wang X, Xu Wilsun (2011) An impedance-based approach for identifying interharmonic sources. IEEE Trans Power Deliv 26(1):333–340CrossRefGoogle Scholar
  7. 7.
    Canova A, Freschi F, Repetto M, Tartaglia M (2009) Identification of an equivalent-source system for magnetic stray field evaluation. IEEE Trans Power Deliv 24(3):1352–1358CrossRefGoogle Scholar
  8. 8.
    Srinivasan D, Ng WS, Liew AC (2006) Neural-network-based signature recognition for harmonic source identification. IEEE Trans Power Deliv 21(1):398–405CrossRefGoogle Scholar
  9. 9.
    Desai VA, Rathore S (2016) Harmonic detection using Kalman filter. In: International conference on electrical, electronics, and optimization techniques (ICEEOT), IEEE, pp 858–863Google Scholar
  10. 10.
    Mehrasa M, Pouresmaeil E, Akorede MF, Jørgensen BN, Catalão JP (2015) Multilevel converter control approach of active power filter for harmonics elimination in electric grids. Energy 84:722–731CrossRefGoogle Scholar
  11. 11.
    Arrillaga J, Watson N (2004) Power system harmonics. Wiley, ChichesterGoogle Scholar
  12. 12.
    Yacamini R (1994) Power system harmonics. Part 1. Harmonic sources. Power Eng J 8(4):193–198CrossRefGoogle Scholar
  13. 13.
    Rosa FD, Langella R, Sollazzo A, Testa A (2005) On the interhar-monic components generated by adjustable speed drives. IEEE Trans Power Deliv 20(4):2535–2543CrossRefGoogle Scholar
  14. 14.
    Murphy JMD, Turnbull FG (2005) Power electronic control of AC motors. Pergamon, New YorkGoogle Scholar
  15. 15.
    Paul C (2006) Introduction to electromagnetic compatibility, 2nd edn. Wiley, HobokenGoogle Scholar
  16. 16.
    Wang J, Song P, Cui C, Li J, Yang T (2012) Analysis of operation of synchronous generator under the distortion of harmonic current. In: Power and energy engineering conference (APPEEC)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  1. 1.Renewable Energy Microgrid laboratory, Drayer Department of Electrical EngineeringLamar UniversityBeaumontUSA
  2. 2.Energy Systems Research Laboratory, Department of Electrical and Computer EngineeringFlorida International UniversityMiamiUSA

Personalised recommendations