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Year 2019, Volume: 19 Issue: 2, 135 - 145, 01.07.2019

Abstract

References

  • 1. H. Vahedi, G. B. Gharehpetian, M. Karrari, “Application of duffing oscillators for passive islanding detection of inverter-based distributed generation units”, IEEE Trans. on Power Delivery, vol. 27, no. 4, pp. 1973-1983, Oct. 2012. [CrossRef] 2. D. Velasco, C.L. Trujillo, G. Garcerá, E. Figueres, “Review of anti-islanding techniques in distributed generators”, Renewable and Sustainable Energy Reviews, vol. 14, no. 6, pp. 1608-1614, 2010. [CrossRef] 3. V. Task, “Evaluation of islanding detection methods for photovoltaic utility interactive power systems”, in International energy agency implementing agreement on photovoltaic power systems, Tech. Rep.IEA-PVPS T5-09, March 2002. 4. F. De Mango, M. Liserre, A. Dell’Aquila, A. Pigazo, “Overview of anti-islanding algorithms for PV systems. Part I: passive methods”, 12th International Power Electronics and Motion Control Conf., Portoroz, 2006, pp. 1878-1883. [CrossRef] 5. N. Liu, C. P. Diduch, L. Chang, J. Su, “A reference impedance-based passive islanding detection method for inverter-based distributed generation system”, IEEE Journal of Emerging and Selected Topics in Power Electronics, vol.3, no.4, pp. 1205-1217, 2015. [CrossRef] 6. N. Liu, A. Aljankawey, C. Diduch, L. Chang, J. Su, “Passive islanding detection approach based on tracking the frequency-dependent impedance change”, IEEE Trans. on Power Delivery, vol. 30, no. 6, pp. 2570-2580, Dec. 2015. [CrossRef] 7. J. Yin, C. P. Diduch, L. Chang, “Islanding detection using proportional power spectral density”, IEEE Trans. on Power Delivery, vol. 23, no. 2, pp. 776-784, April 2008. [CrossRef] 8. A. Yafaoui, B. Wu, S. Kouro, “Improved active frequency drift anti-islanding detection method for grid connected photovoltaic systems”, IEEE Trans. on Power Electronics, vol. 27, no. 5, pp. 2367-2375, May 2012. [CrossRef] 9. A. Ghaderi, M. Kalantar, A. Esmaeilian, “A novel islanding detection method for constant current inverter based distributed generations”, 2011 10th International Conference on Environment and Electrical Engineering, Rome, 2011, pp. 1-4. [CrossRef] 10. H. H. Zeineldin, J. L. Kirtley, “Performance of the OVP/UVP and OFP/UFP method with voltage and frequency dependent loads”, IEEE Trans. on Power Delivery, vol. 24, no. 2, pp. 772-778, April 2009. [CrossRef] 11. Z. Ye, A. Kolwalkar, Y. Zhang, P. Du, R. Walling, “Evaluation of anti-islanding schemes based on nondetection zone concept”, IEEE Trans. on Power Electronics, vol. 19, no. 5, pp. 1171-1176, Sept. 2004. [CrossRef] 12. B. Singam, L. Y. Hui, “Assessing SMS and PJD schemes of anti-islanding with varying quality factor”, IEEE International Power and Energy Conf., Putra Jaya, 2006, pp. 196-201. [CrossRef] 13. J. C. M. Vieira, W. Freitas, Z. Huang, W. Xu, A. Morelato, “Formulas for predicting the dynamic performance of ROCOF relays for embedded generation applications”, IEE Proceedings - Generation, Transmission and Distribution, vol. 153, no. 4, pp. 399-406, 13 July 2006. [CrossRef] 14. A. Danandeh, H. Seyedi, E. Babaei, “Islanding detection using combined algorithm based on rate of change of reactive power and current THD techniques”, Asia-Pacific Power and Energy Engineering Conference, Shanghai, 2012, pp. 1-4. [CrossRef] 15. S. Jang, K. H. Kim, “An islanding detection method for distributed generations using voltage unbalance and total harmonic distortion of current”, IEEE Trans. on Power Delivery, vol. 19, no. 2, pp. 745-752, April 2004. [CrossRef] 16. A. Samui, S. R. Samantaray, “Wavelet singular entropy-based islanding detection in distributed generation”, IEEE Trans. on Power Delivery, vol. 28, no. 1, pp. 411-418, Jan. 2013. [CrossRef] 17. N. W. A. Lidula, A. D. Rajapakse, “A pattern recognition approach for detecting power islands using transient signals-part I: design and implementation”, IEEE Trans. on Power Delivery, vol. 25, no. 4, pp. 3070-3077, Oct. 2010. [CrossRef] 18. K. El-Arroudi, G. Joos, I. Kamwa, D. T. McGillis, “Intelligent-based approach to islanding detection in distributed generation”, IEEE Trans. on Power Delivery, vol. 22, no. 2, pp. 828-835, April 2007. [CrossRef] 19. W. K. A. Najy, H. H. Zeineldin, A. H. K. Alaboudy, W. L. Woon, “A Bayesian passive islanding detection method for inverter-based distributed generation using ESPRIT”, IEEE Trans. on Power Delivery, vol. 26, no. 4, pp. 2687-2696, Oct. 2011. [CrossRef] 20. S. Alshareef, S. Talwar, W. G. Morsi, “A new approach based on wavelet design and machine learning for islanding detection of distributed generation”, IEEE Trans. on Smart Grid, vol. 5, no. 4, pp. 1575-1583, July 2014. [CrossRef] 21. P. K. Ray, N. Kishor, S. R. Mohanty, “S-transform based islanding detection in grid-connected distributed generation based power system”, IEEE International Energy Conference, Manama, 2010, pp. 612-617. [CrossRef] 22. M. Mishra, P. K. Rout, “Time-frequency analysis based approach to islanding detection in micro-grid system”, Int. Rev. Electr. Eng. (IREE), vol.11, no.1, pp.116-129, 2016. [CrossRef] 23. F. Babaei-Roudi, A. A. Abdoos, “Detection of internal fault from external fault and inrush current in power transformers based on combination of VMD and ELM”, Computational Intelligence in Electrical Engineering, vol. 9, no. 1,pp. 65-77, 2018. 24. P. D. Achlerkar, S. R. Samantaray, M. S. Manikandan, “Detection of voltage variation events using variational mode decomposition”, IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), Bangalore, 2017, pp. 1-6. [CrossRef] 25. K. Dragomiretskiy, D. Zosso, “Variational mode decomposition”, IEEE Transactions on Signal Processing, vol. 62, no. 3, pp. 531-544, Feb.1, 2014. [CrossRef] 26. F. Hashemi, M. Mohammadi, “Islanding detection approach with negligible non‐detection zone based on feature extraction discrete wavelet transform and artificial neural network”, Int. Trans. Electr. Energ. Syst., vol. 26, pp. 2172-2192, 2016. [CrossRef] 27. M. Mishra, PK. Rout, “Fast discrete s-transform and extreme learning machine based approach to islanding detection in grid-connected distributed generation,” Energy Syst, pp. 1-33, 2016. [CrossRef] 28. H. H. Zeineldin, E. F. El-Saadany, M. M. A. Salama, “Impact of DG interface control on islanding detection and non detection zones,” IEEE Transactions on Power Delivery, vol. 21, no. 3, pp. 1515-1523, July 2006. [CrossRef] 29. IEEE Standard for Interconnecting Distributed Resources into Electric Power Systems, IEEE standard 1547TM, June 2003. 30. A. Pigazo, M. Liserre, R. A. Mastromauro, V. M. Moreno, A. Dell’Aquila, “Wavelet-based islanding detection in grid-connected PV systems,” IEEE Transactions on Industrial Electronics, vol. 56, no. 11, pp. 4445-4455, Nov. 2009. [CrossRef]
  • Solgun Salimi was born in 1981; received the B.Sc in electrical engineering from the Faculty of Electrical Engineering, k. N. Toosi University, Iran, in 2003; she received M.Sc from Aliabad Katoul Branch of Islamic Azad University, Iran, in 2017. Her research interests are power system analysis, islanding detection algorithms.
  • Amangaldi Koochaki was born in 1981; received the B.Sc in electrical engineering from the Faculty of Electrical Engineering, University of Tehran, Iran, in 2003; he received M.Sc and Ph.D from Amirkabir University of Technology, Iran, in 2003 and 2010 respectively. Now he is assistant professor in Aliabad Katoul branch of Islamic Azad University, Iran. His research interests are power system analysis, relay coordination and renewable energies.

An Effective Method for Islanding Detection Based on Variational Mode Decomposition

Year 2019, Volume: 19 Issue: 2, 135 - 145, 01.07.2019

Abstract

DOI: 10.26650/electrica.2019.19007


The present study presents a new islanding
detection method based on variational mode decomposition (VMD). In the method,
the VMD transform of the voltage at point of common coupling is calculated, and
then based on the decomposed modes, an islanding detection index for
distinguishing between islanding and normal conditions will be derived.
Pursuing this objective, the measured voltage is decomposed into four modes,
and a new islanding detection index will be derived from their energy and their
variations. Then, thresholds will be adjusted based on values of proposed index
in various conditions on normal and islanding operations. The proposed
algorithm decomposes the measured signal into a predetermined number of
intrinsic modes around central frequencies; the method is insensitive to the
noise and sampling frequency. To validate the method, a distribution network
has been simulated in PSCAD/EMTDC, and the algorithm is tested on a variety of
islanding and normal circumstances. The results illustrate desired performance
of the proposed algorithm for conditions such as motor, nonlinear, and large
load switching; as normal condition; and islanding condition with a variety of
power mismatches between local load and distributed generation. The results
demonstrate the desired performance of the method with respect to both speed
and accuracy.


Cite this article as: Salimi S, Koochaki A.
An Effective Method for Islanding Detection Based on Variational Mode
Decomposition. Electrica, 2019; 19(2): 135-1145.

References

  • 1. H. Vahedi, G. B. Gharehpetian, M. Karrari, “Application of duffing oscillators for passive islanding detection of inverter-based distributed generation units”, IEEE Trans. on Power Delivery, vol. 27, no. 4, pp. 1973-1983, Oct. 2012. [CrossRef] 2. D. Velasco, C.L. Trujillo, G. Garcerá, E. Figueres, “Review of anti-islanding techniques in distributed generators”, Renewable and Sustainable Energy Reviews, vol. 14, no. 6, pp. 1608-1614, 2010. [CrossRef] 3. V. Task, “Evaluation of islanding detection methods for photovoltaic utility interactive power systems”, in International energy agency implementing agreement on photovoltaic power systems, Tech. Rep.IEA-PVPS T5-09, March 2002. 4. F. De Mango, M. Liserre, A. Dell’Aquila, A. Pigazo, “Overview of anti-islanding algorithms for PV systems. Part I: passive methods”, 12th International Power Electronics and Motion Control Conf., Portoroz, 2006, pp. 1878-1883. [CrossRef] 5. N. Liu, C. P. Diduch, L. Chang, J. Su, “A reference impedance-based passive islanding detection method for inverter-based distributed generation system”, IEEE Journal of Emerging and Selected Topics in Power Electronics, vol.3, no.4, pp. 1205-1217, 2015. [CrossRef] 6. N. Liu, A. Aljankawey, C. Diduch, L. Chang, J. Su, “Passive islanding detection approach based on tracking the frequency-dependent impedance change”, IEEE Trans. on Power Delivery, vol. 30, no. 6, pp. 2570-2580, Dec. 2015. [CrossRef] 7. J. Yin, C. P. Diduch, L. Chang, “Islanding detection using proportional power spectral density”, IEEE Trans. on Power Delivery, vol. 23, no. 2, pp. 776-784, April 2008. [CrossRef] 8. A. Yafaoui, B. Wu, S. Kouro, “Improved active frequency drift anti-islanding detection method for grid connected photovoltaic systems”, IEEE Trans. on Power Electronics, vol. 27, no. 5, pp. 2367-2375, May 2012. [CrossRef] 9. A. Ghaderi, M. Kalantar, A. Esmaeilian, “A novel islanding detection method for constant current inverter based distributed generations”, 2011 10th International Conference on Environment and Electrical Engineering, Rome, 2011, pp. 1-4. [CrossRef] 10. H. H. Zeineldin, J. L. Kirtley, “Performance of the OVP/UVP and OFP/UFP method with voltage and frequency dependent loads”, IEEE Trans. on Power Delivery, vol. 24, no. 2, pp. 772-778, April 2009. [CrossRef] 11. Z. Ye, A. Kolwalkar, Y. Zhang, P. Du, R. Walling, “Evaluation of anti-islanding schemes based on nondetection zone concept”, IEEE Trans. on Power Electronics, vol. 19, no. 5, pp. 1171-1176, Sept. 2004. [CrossRef] 12. B. Singam, L. Y. Hui, “Assessing SMS and PJD schemes of anti-islanding with varying quality factor”, IEEE International Power and Energy Conf., Putra Jaya, 2006, pp. 196-201. [CrossRef] 13. J. C. M. Vieira, W. Freitas, Z. Huang, W. Xu, A. Morelato, “Formulas for predicting the dynamic performance of ROCOF relays for embedded generation applications”, IEE Proceedings - Generation, Transmission and Distribution, vol. 153, no. 4, pp. 399-406, 13 July 2006. [CrossRef] 14. A. Danandeh, H. Seyedi, E. Babaei, “Islanding detection using combined algorithm based on rate of change of reactive power and current THD techniques”, Asia-Pacific Power and Energy Engineering Conference, Shanghai, 2012, pp. 1-4. [CrossRef] 15. S. Jang, K. H. Kim, “An islanding detection method for distributed generations using voltage unbalance and total harmonic distortion of current”, IEEE Trans. on Power Delivery, vol. 19, no. 2, pp. 745-752, April 2004. [CrossRef] 16. A. Samui, S. R. Samantaray, “Wavelet singular entropy-based islanding detection in distributed generation”, IEEE Trans. on Power Delivery, vol. 28, no. 1, pp. 411-418, Jan. 2013. [CrossRef] 17. N. W. A. Lidula, A. D. Rajapakse, “A pattern recognition approach for detecting power islands using transient signals-part I: design and implementation”, IEEE Trans. on Power Delivery, vol. 25, no. 4, pp. 3070-3077, Oct. 2010. [CrossRef] 18. K. El-Arroudi, G. Joos, I. Kamwa, D. T. McGillis, “Intelligent-based approach to islanding detection in distributed generation”, IEEE Trans. on Power Delivery, vol. 22, no. 2, pp. 828-835, April 2007. [CrossRef] 19. W. K. A. Najy, H. H. Zeineldin, A. H. K. Alaboudy, W. L. Woon, “A Bayesian passive islanding detection method for inverter-based distributed generation using ESPRIT”, IEEE Trans. on Power Delivery, vol. 26, no. 4, pp. 2687-2696, Oct. 2011. [CrossRef] 20. S. Alshareef, S. Talwar, W. G. Morsi, “A new approach based on wavelet design and machine learning for islanding detection of distributed generation”, IEEE Trans. on Smart Grid, vol. 5, no. 4, pp. 1575-1583, July 2014. [CrossRef] 21. P. K. Ray, N. Kishor, S. R. Mohanty, “S-transform based islanding detection in grid-connected distributed generation based power system”, IEEE International Energy Conference, Manama, 2010, pp. 612-617. [CrossRef] 22. M. Mishra, P. K. Rout, “Time-frequency analysis based approach to islanding detection in micro-grid system”, Int. Rev. Electr. Eng. (IREE), vol.11, no.1, pp.116-129, 2016. [CrossRef] 23. F. Babaei-Roudi, A. A. Abdoos, “Detection of internal fault from external fault and inrush current in power transformers based on combination of VMD and ELM”, Computational Intelligence in Electrical Engineering, vol. 9, no. 1,pp. 65-77, 2018. 24. P. D. Achlerkar, S. R. Samantaray, M. S. Manikandan, “Detection of voltage variation events using variational mode decomposition”, IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), Bangalore, 2017, pp. 1-6. [CrossRef] 25. K. Dragomiretskiy, D. Zosso, “Variational mode decomposition”, IEEE Transactions on Signal Processing, vol. 62, no. 3, pp. 531-544, Feb.1, 2014. [CrossRef] 26. F. Hashemi, M. Mohammadi, “Islanding detection approach with negligible non‐detection zone based on feature extraction discrete wavelet transform and artificial neural network”, Int. Trans. Electr. Energ. Syst., vol. 26, pp. 2172-2192, 2016. [CrossRef] 27. M. Mishra, PK. Rout, “Fast discrete s-transform and extreme learning machine based approach to islanding detection in grid-connected distributed generation,” Energy Syst, pp. 1-33, 2016. [CrossRef] 28. H. H. Zeineldin, E. F. El-Saadany, M. M. A. Salama, “Impact of DG interface control on islanding detection and non detection zones,” IEEE Transactions on Power Delivery, vol. 21, no. 3, pp. 1515-1523, July 2006. [CrossRef] 29. IEEE Standard for Interconnecting Distributed Resources into Electric Power Systems, IEEE standard 1547TM, June 2003. 30. A. Pigazo, M. Liserre, R. A. Mastromauro, V. M. Moreno, A. Dell’Aquila, “Wavelet-based islanding detection in grid-connected PV systems,” IEEE Transactions on Industrial Electronics, vol. 56, no. 11, pp. 4445-4455, Nov. 2009. [CrossRef]
  • Solgun Salimi was born in 1981; received the B.Sc in electrical engineering from the Faculty of Electrical Engineering, k. N. Toosi University, Iran, in 2003; she received M.Sc from Aliabad Katoul Branch of Islamic Azad University, Iran, in 2017. Her research interests are power system analysis, islanding detection algorithms.
  • Amangaldi Koochaki was born in 1981; received the B.Sc in electrical engineering from the Faculty of Electrical Engineering, University of Tehran, Iran, in 2003; he received M.Sc and Ph.D from Amirkabir University of Technology, Iran, in 2003 and 2010 respectively. Now he is assistant professor in Aliabad Katoul branch of Islamic Azad University, Iran. His research interests are power system analysis, relay coordination and renewable energies.
There are 3 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Articles
Authors

Solgun Salimi This is me

Amangaldi Koochaki This is me

Publication Date July 1, 2019
Published in Issue Year 2019 Volume: 19 Issue: 2

Cite

APA Salimi, S., & Koochaki, A. (2019). An Effective Method for Islanding Detection Based on Variational Mode Decomposition. Electrica, 19(2), 135-145.
AMA Salimi S, Koochaki A. An Effective Method for Islanding Detection Based on Variational Mode Decomposition. Electrica. July 2019;19(2):135-145.
Chicago Salimi, Solgun, and Amangaldi Koochaki. “An Effective Method for Islanding Detection Based on Variational Mode Decomposition”. Electrica 19, no. 2 (July 2019): 135-45.
EndNote Salimi S, Koochaki A (July 1, 2019) An Effective Method for Islanding Detection Based on Variational Mode Decomposition. Electrica 19 2 135–145.
IEEE S. Salimi and A. Koochaki, “An Effective Method for Islanding Detection Based on Variational Mode Decomposition”, Electrica, vol. 19, no. 2, pp. 135–145, 2019.
ISNAD Salimi, Solgun - Koochaki, Amangaldi. “An Effective Method for Islanding Detection Based on Variational Mode Decomposition”. Electrica 19/2 (July 2019), 135-145.
JAMA Salimi S, Koochaki A. An Effective Method for Islanding Detection Based on Variational Mode Decomposition. Electrica. 2019;19:135–145.
MLA Salimi, Solgun and Amangaldi Koochaki. “An Effective Method for Islanding Detection Based on Variational Mode Decomposition”. Electrica, vol. 19, no. 2, 2019, pp. 135-4.
Vancouver Salimi S, Koochaki A. An Effective Method for Islanding Detection Based on Variational Mode Decomposition. Electrica. 2019;19(2):135-4.