Skip to main content

Comparative Analysis of Different Signal Processing Schemes for Islanding Detection in Microgrid

  • Conference paper
  • First Online:
Smart Technologies for Power and Green Energy

Abstract

In this paper, islanding detection in a microgrid scenario is analyzed by using the signal processing techniques such as the S-transform method (ST), Sparse S-transform (SST), variational mode decomposition method (VMD) and total variation filtering method (TVF). To get a clear picture of the comparison, all the detection schemes are evaluated in the standard 13-bus distribution system. In this paper, the PCC voltage of a three-phase system is utilized for further signal processing and subsequent feature selection procedure. The extracted voltage is also called as modal voltage. Various monitoring parameters have been considered to check the effectiveness of the selected threshold and subsequent islanding detection. Further, the detailed overview of above-mentioned methods has been thoroughly discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. IEEE Std. 1547–2003: IEEE standard for interconnecting distributed resources with electric power systems (2003)

    Google Scholar 

  2. F. De Mango, M. Liserre, A. Dell’Aquila, A. Pigazo (2006)Overview of anti-islanding algorithms for pv systems. Part I: Passive methods, in 12th International Power Electronics and Motion Control Conference (2006), pp. 1878–1883

    Google Scholar 

  3. P.P. Mishra, C.N. Bhende, Islanding detection scheme for distributed generation systems using modified reactive power control strategy. IET Gener. Transm. Distrib. 13(6), 814–820 (2019 May 6)

    Google Scholar 

  4. F. De Mango, M. Liserre, A. Dell'Aquila, Overview of anti-islanding algorithms for pv systems. Part II: Activemethods, in 2006 12th International Power Electronics and Motion Control Conference, (IEEE, 2006 Aug 30), pp. 1884–1889

    Google Scholar 

  5. A. Timbus, A. Oudalov, C.N. Ho, Islanding detection in smart grids, in 2010 IEEE Energy Conversion Congress and Exposition (IEEE, 2010 Sep 12), pp. 3631–3637

    Google Scholar 

  6. M. Khodaparastan, H. Vahedi, F. Khazaeli, H. Oraee, A novel hybrid islanding detection method for inverter-based DGs using SFS and ROCOF. IEEE Trans. Power Deliv. 32(5), 2162–2170 (2015 Feb 24)

    Google Scholar 

  7. D. Mlakić, H.R. Baghaee, S. Nikolovski, Gibbs phenomenon-based hybrid islanding detection strategy for VSC-based microgrids using frequency shift, THDu, and RMSu. IEEE Trans. Smart Grid 10(5), 5479–5491 (2018 Nov 27)

    Google Scholar 

  8. S. Raza, H. Mokhlis, H. Arof, J.A. Laghari, L. Wang, Application of signal processing techniques for islanding detection of distributed generation in distribution network: a review. Energy Convers. Manag. 15(96), 613–624 (2015 May)

    Google Scholar 

  9. H.T. Do, X. Zhang, N.V. Nguyen, S.S. Li, T.T. Chu, Passive-islanding detection method using the wavelet packet transform in grid-connected photovoltaic systems. IEEE Trans. Power Electron. 31(10), 6955–6967 (2015 Dec 7)

    Google Scholar 

  10. D. Kumar, P.S. Bhowmik, Artificial neural network and phasor data-based islanding detection in smart grid. IET Gener. Transm. Distrib. 12(21), 5843–5850 (2018 Nov 29)

    Google Scholar 

  11. W.H. Kersting, Radial distribution test feeders. IEEE Trans. Power Syst. 6(3), 975–985 (1991 Aug)

    Google Scholar 

  12. A. Samui, S.R. Samantaray, Wavelet singular entropy-based islanding detection in distributed generation. IEEE Trans. Power Deliv. 28(1), 411–418 (2012 Dec 4)

    Google Scholar 

  13. N.W. Lidula, A.D. Rajapakse, A pattern recognition approach for detecting power islands using transient signals—Part I: design and implementation. IEEE Trans. Power Deliv. 25(4), 3070–3077 (2010 Aug 12)

    Google Scholar 

  14. K. El-Arroudi, G. Joos, I. Kamwa, D.T. McGillis, Intelligent-based approach to islanding detection in distributed generation. IEEE Trans. Power Deliv. 22(2), 828–835 (2007 Apr 2)

    Google Scholar 

  15. W.K. Najy, H.H. Zeineldin, A.H. Alaboudy, W.L. Woon, A Bayesian passive islanding detection method for inverter-based distributed generation using ESPRIT. IEEE Trans. Power Deliv. 26(4), 2687–2696 (2011 Jul 19)

    Google Scholar 

  16. V.L. Merlin, R.C. dos Santos, A.P. Pavani, D.V. Coury, M. Oleskovicz, J.C. de Melo Vieira, Artificial neural network based approach for anti-islanding protection of distributed generators. J. Contr. Autom. Electr. Syst. 25(3), 339–348 (2014 June 1)

    Google Scholar 

  17. P.K. Ray, N. Kishor, S.R. Mohanty, Islanding and power quality disturbance detection in grid-connected hybrid power system using wavelet and $ S $-transform. IEEE Trans. Smart Grid 3(3), 1082–1094 (2012 May 31)

    Google Scholar 

  18. P.P. Mishra, C.N. Bhende, M.S. Manikandan, Islanding detection using total variation-based signal decomposition technique. IET Energy Syst. Integr. 2(1), 22–31 (2020 Mar)

    Google Scholar 

  19. P.P. Mishra, C.N. Bhende, Islanding detection using sparse S-transform in distributed generation systems. Electr. Eng. 100(4), 2397–2406 (2018 Dec)

    Google Scholar 

  20. P. Parimita Mishra, C. N. Bhende, Islanding detection based on variational mode decomposition for inverter based distributed generation systems. IFAC-PapersOnLine 52(4), 306–311 (2019 Jan 1)

    Google Scholar 

  21. S.R. Mohanty, N. Kishor, P.K. Ray, J.P. Catalo, Comparative study of advanced signal processing techniques for islanding detection in a hybrid distributed generation system. IEEE Trans. Sustain. Energy 6(1), 122–131 (2014 Nov 4)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Prajna Parimita Mishra .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Mishra, P.P., Bhende, C.N., Pati, A.K. (2023). Comparative Analysis of Different Signal Processing Schemes for Islanding Detection in Microgrid. In: Dash, R.N., Rathore, A.K., Khadkikar, V., Patel, R., Debnath, M. (eds) Smart Technologies for Power and Green Energy. Lecture Notes in Networks and Systems, vol 443. Springer, Singapore. https://doi.org/10.1007/978-981-19-2764-5_28

Download citation

  • DOI: https://doi.org/10.1007/978-981-19-2764-5_28

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-2763-8

  • Online ISBN: 978-981-19-2764-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics