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

H. H. Zeineldin; S. Conti

doi:10.1049/iet-rpg.2010.0096

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

H. H. Zeineldin, S. Conti

Electrical Engineering

Università di Catania and Sezione INFN

Research output: Contribution to journal › Article › peer-review

66 Scopus citations

Abstract

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.

Original language	British English
Pages (from-to)	175-183
Number of pages	9
Journal	IET Renewable Power Generation
Volume	5
Issue number	2
DOIs	https://doi.org/10.1049/iet-rpg.2010.0096
State	Published - Mar 2011

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10.1049/iet-rpg.2010.0096

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title = "Sandia frequency shift parameter selection for multi-inverter systems to eliminate non-detection zone",

abstract = "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.",

author = "Zeineldin, {H. H.} and S. Conti",

note = "Funding Information: The Authors would like to acknowledge the considerable assistance and input of the Consultant Neurosurgeons Mr. Peter Teddy, Mr. Amjad Shad, Mr. Ali Jamous and Mr. Tipu Aziz and researchers Iain Goodhew and Ben Hutt. Ethical approval for the author{\textquoteright}s research was obtained from the Ethics and Research Committee at the University of Reading, UK and with regard to the neurosurgery aspect, the Oxfordshire National Health Trust Board overseeing the Radcliffe Infirmary, Oxford, UK.",

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doi = "10.1049/iet-rpg.2010.0096",

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AU - Zeineldin, H. H.

AU - Conti, S.

N1 - Funding Information: The Authors would like to acknowledge the considerable assistance and input of the Consultant Neurosurgeons Mr. Peter Teddy, Mr. Amjad Shad, Mr. Ali Jamous and Mr. Tipu Aziz and researchers Iain Goodhew and Ben Hutt. Ethical approval for the author’s research was obtained from the Ethics and Research Committee at the University of Reading, UK and with regard to the neurosurgery aspect, the Oxfordshire National Health Trust Board overseeing the Radcliffe Infirmary, Oxford, UK.

PY - 2011/3

Y1 - 2011/3

N2 - 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.

AB - 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.

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

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