Sandia frequency shift parameter selection for multi-inverter systems to eliminate non-detection zone

Among frequency drift islanding detection methods, Sandia frequency shift (SFS) is considered as one of the most effective methods in detecting islanding conditions for grid connected photovoltaic (PV) inverters. The performance of the SFS method during an islanding condition and its non-detection zone (NDZ) depends to a great extent on its parameters. Furthermore, the capability of the SFS method to detect an islanding condition deteriorates with multiple PV inverters. A mathematical formula is derived to aid protection engineers in determining the optimal setting of the SFS islanding detection parameters with multiple inverter-based distributed generation (DG), such as PV systems, to eliminate the NDZ. The derived formula is applied to multiple DG systems equipped with the over frequency/under frequency protection, active frequency drift and SFS islanding detection methods and is verified through NDZ analysis and simulation results on PSCAD/EMTDC. The derived formula provides an effective guideline for designing frequency drift methods in multi-inverter-based DG systems.

[1]  J.A.P. Lopes,et al.  Using Low Voltage MicroGrids for Service Restoration , 2007, IEEE Transactions on Power Systems.

[2]  Yu Zhang,et al.  Evaluation of anti-islanding schemes based on nondetection zone concept , 2004, IEEE Transactions on Power Electronics.

[3]  Xinchun Lin,et al.  Improved SMS islanding detection method for grid-connected converters , 2010 .

[4]  M.E. Ropp,et al.  Investigation of two anti-islanding methods in the multi-inverter case , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.

[5]  Jun Liang,et al.  Hybrid control of multiple inverters in an island-mode distribution system , 2003, IEEE 34th Annual Conference on Power Electronics Specialist, 2003. PESC '03..

[6]  Yongzheng Zhang,et al.  Islanding Detection Assessment of Multi-Inverter Systems With Active Frequency Drifting Methods , 2008, IEEE Transactions on Power Delivery.

[7]  M.R. Iravani,et al.  Power Management Strategies for a Microgrid With Multiple Distributed Generation Units , 2006, IEEE Transactions on Power Systems.

[8]  J.A.P. Lopes,et al.  Defining control strategies for MicroGrids islanded operation , 2006, IEEE Transactions on Power Systems.

[9]  Massimo Ceraolo,et al.  Control techniques of Dispersed Generators to improve the continuity of electricity supply , 2002, 2002 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.02CH37309).

[10]  L.A.C. Lopes,et al.  Performance assessment of active frequency drifting islanding detection methods , 2006, IEEE Transactions on Energy Conversion.

[11]  Stephen J. Finney,et al.  Harmonic distortion-based island detection technique for inverter-based distributed generation , 2009 .

[12]  S. Kennedy,et al.  Sandia Frequency-Shift Parameter Selection to Eliminate Nondetection Zones , 2009, IEEE Transactions on Power Delivery.

[13]  Xiaoyu Wang Investigation of positive feedback anti-islanding control for multiple inverter-based distributed generators , 2009, 2009 IEEE Power & Energy Society General Meeting.

[14]  Ronnie Belmans,et al.  Testing the islanding protection function of photovoltaic inverters , 2003 .

[15]  T. T. Ma Novel voltage stability constrained positive feedback anti-islanding algorithms for the inverter-based distributed generator systems , 2010 .

[16]  Marco Liserre,et al.  Performance Evaluation of Active Islanding-Detection Algorithms in Distributed-Generation Photovoltaic Systems: Two Inverters Case , 2011, IEEE Transactions on Industrial Electronics.

[17]  Ajeet Rohatgi,et al.  Determining the relative effectiveness of islanding detection methods using phase criteria and nondetection zones , 2000 .

[18]  Wilsun Xu,et al.  Impact of DG Interface Controls on the Sandia Frequency Shift Antiislanding Method , 2007, IEEE Transactions on Energy Conversion.