1 / 18

Relevance of anti-islanding algorithms for Grid-Tied Inverters and some new investigations

Relevance of anti-islanding algorithms for Grid-Tied Inverters and some new investigations. Supervisor: Dr. Malabika Basu. Presented by Sandipan Patra. Safety Concern. Active islanding detection. O bjectives. Damage to customer’s appliances. Passive islanding detection.

near
Download Presentation

Relevance of anti-islanding algorithms for Grid-Tied Inverters and some new investigations

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Relevance of anti-islanding algorithms for Grid-Tied Inverters and some new investigations Supervisor: Dr.MalabikaBasu Presented by Sandipan Patra

  2. Safety Concern Active islanding detection Objectives • Damage to customer’s appliances Passive islanding detection Source: Making microgrids work [1] • Inverter damage What is Islanding? Islanding refers to the condition in which a distributed generator (DG) continues to power a location even though electrical grid power from the electric utility is no longer present. Islanding detection methods Problems caused by islanding [1] Kroposki, B., Lasseter, R., Ise, T., Morozumi, S. Papathanassiou, S., and Hatziargyriou, N., “Making microgrids work”, IEEE Power and Energy Magazine, Vol. 6, Issue 3, pp. 40-53, 2008.

  3. Impedance Measurement Detection of Impedance at a Specific Frequency Slip-mode Frequency Shift Frequency Bias Sandia Frequency Shift Sandia Voltage Shift Frequency Jump ENS or MSD (a device using multiple methods) Active methods generally attempt to detect a loss in grid by actively trying to changing the voltage and/or frequency of the grid, and then detecting whether or not the grid changed. Active Islanding

  4. Over/under voltage and frequency trip settings Voltage and frequency relay functions Set a V/F window – if conditions are outside window, then DR trips Non-detect zone (NDZ) exists between trip points Amendment 1 (IEEE 1547a) allows for adjustable clearing times Rate-of-change-of-frequency (ROCOF) New Voltage and Frequency Trips Settings from Amendment 1 of IEEE 1547-2003 [2] Passive Islanding • [2] IEEE Standard for Interconnecting Distributed Resources with Electric Power Systems," IEEE Std 1547-2003, July 28 2003

  5. Research Methodology • Any kind of disturbances to the system introduces a transients in the system and the nature of these transients are depends upon the type of disturbances. • Frequency profile of non-islanding events is oscillating in nature whereas islanding event frequency profile is monotonically increasing or decreasing. • A new anti-islanding protection scheme based on the estimation of transient’s frequency is developed. • The transient’s frequency for islanding event increases as power mismatch decreases and it reaches up to its maximum value (5 Hz) when power mismatch is zero • Transient’s frequency of non-islanding event (Load Switching, capacitor bank switching, distribution line faults, etc.) is much higher than 5 Hz. So islanding event occurs, when the transient’s frequency lies between zero to 5 Hz. Fig : Behavior of frequency at PCC

  6. Research Methodology Flow chart of proposed anti-islanding protection using the ESPRIT technique

  7. System Configurations

  8. Research Contribution Case Study 1: large power mismatch

  9. Research Contribution Case Study 2: Small power mismatch

  10. Research Contribution Case Study 3: Load switching (non-islanding event)

  11. Research Contribution Case Study 3: Capacitor switching (non-islanding event) (c) (b) (a) (d) Fig. Capacitor switching (non-islanding event) with (a & c) Proposed ESPRIT based method and (b & d) Wavelet based method

  12. Research Contribution Case Study 3: Effect of harmonics (non-islanding event) (c) (a) (b) (d) Fig. Effect of 13 and 17 order harmonics on (a & c) Proposed ESPRIT based method and (b & d) wavelet based method

  13. Conclusion • Proposed ESPRIT based anti-islanding scheme is found to be very effective in discriminating between islanding detection and other disturbances. • NDZ is very small in the proposed scheme and it avoids nuisance tripping because of other transients.

  14. Acknowledgement This work has been carried out with the support of • Science Foundation Ireland • Electrical Power Research Centre,  Dublin Institute of Technology

  15. REFERENCE • S. Patra, S. Agrawal, S. R. Mohanty, V. Agarwal and M. Basu, "ESPRIT based robust anti-islanding algorithm for grid-tied inverter," 2016 IEEE Students’ Technology Symposium (TechSym), Kharagpur, West Bengal, India, 2016, pp. 90-95. • D. Bică, M. Abrudean, L. I. Dulău, M. Abrudean, L. I. Dulău, M. Abrudean, and L. I. Dulău, “Effects of Distributed Generation on Electric Power Systems,” Procedia Technology, vol. 12. pp. 681–686, 01-Jan-2014. • IEEE Standard for Interconnecting Distributed Resources with Electric Power Systems," IEEE Std 1547-2003, July 28 2003 • A. Khamis, H. Shareef, E. Bizkevelci, and T. Khatib, “A review of islanding detection techniques for renewable distributed generation systems,” Renewable and Sustainable Energy Reviews, vol. 28. pp. 483–493, 01-Dec-2013. • C. Jeraputra, P.N. Enjeti, “Development of a Robust Anti-Islanding Algorithm for Utility Interconnection of Distributed Fuel Cell Powered Generation”, IEEE Transactions on Power Electronics, Vol: 19. Issue 5, Sept 2004 • C. Jeraputra, E. C. Aeloiza, P. N. Enjeti, S. Choi, “An Improved Anti-Islanding Algorithm for Utility Interconnection of Multiple Distributed Fuel Cell Powered Generations”, IEEE Applied Power Electronics Conference, March 2005 • S. Dhar and P. K. Dash, “Harmonic Profile Injection-Based Hybrid Active Islanding Detection Technique for PV-VSC-Based Microgrid System,” IEEE Transactions on Sustainable Energy, vol. PP. pp. 1–20, 2016. • R. Garg, B. Singh, D. T. Shahani, and C. Jain, “Dual-Tree Complex Wavelet Transform Based Control Algorithm for Power Quality Improvement in a Distribution System,” IEEE Transactions on Industrial Electronics, vol. PP. pp. 1–1, 2016. • A. Khamis, H. Shareef, E. Bizkevelci, and T. Khatib, “A review of islanding detection techniques for renewable distributed generation systems,” Renewable and Sustainable Energy Reviews, vol. 28. pp. 483–493, 01-Dec-2013. • M. Hanif, M. Basu and K. Gaughan, “Development of EN50438 compliant wavelet-based islanding detection technique for three-phase static distributed generation systems,” Renewable Power Generation, IET, vol. 6. pp. 289–301, 2012. • S. R. Mohanty, N. Kishor, P. K. Ray and J. P. S. Catalo, “Comparative Study of Advanced Signal Processing Techniques for Islanding Detection in a Hybrid Distributed Generation System,” IEEE Trans. on Sustanable Energy, vol. 6. pp. 122–131, 2015. • Prony GRB. Essai experimental et analytique. J L’Ecole Polytech 1795;1:24–76. • S. K. Jain and S. N. Singh, “Exact Model Order ESPRIT Technique for Harmonics and Interharmonics Estimation,” IEEE Trans. on Instrumentation and measurement, vol. 61. pp. 1915–1923, 2012.

  16. Any Question ??

  17. THANK YOU

More Related