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An irregular current injection islanding detection method based on an improved impedance measurement scheme

Liu, M.H.; Zhao, W.; Wang, Q.; Huang, S.L.; Shi, K.P.

An irregular current injection islanding detection method based on an improved impedance measurement scheme Thumbnail


Authors

M.H. Liu

W. Zhao

S.L. Huang

K.P. Shi



Abstract

One class of islanding detection methods, known as impedance measurement-based methods and voltage change monitoring-based methods, are implemented through injecting irregular currents into the network, for which reason they are defined in this paper as irregular current injection methods. This paper indicates that such methods may be affected by distributed generation (DG) unit cut-in events. Although the network impedance change can still be used as a judgment basis for islanding detection, the general impedance measurement scheme cannot separate island events from DG unit cut-in events in multi-DG operation. In view of this, this paper proposes a new islanding detection method based on an improved impedance measurement scheme, i.e., dynamic impedance measurement, which will not be affected by DG unit cut-in events and can further assist some other equipment in islanding detection. The simulations and experiments verify the stated advantages of the new islanding detection method.

Citation

Liu, M., Zhao, W., Wang, Q., Huang, S., & Shi, K. (2018). An irregular current injection islanding detection method based on an improved impedance measurement scheme. Energies, 11(2474), Article 2474. https://doi.org/10.3390/en11092474

Journal Article Type Article
Acceptance Date Sep 17, 2018
Online Publication Date Sep 17, 2018
Publication Date Sep 17, 2018
Deposit Date Sep 19, 2018
Publicly Available Date Sep 20, 2018
Journal Energies
Electronic ISSN 1996-1073
Publisher MDPI
Peer Reviewed Peer Reviewed
Volume 11
Issue 2474
Article Number 2474
DOI https://doi.org/10.3390/en11092474
Public URL https://durham-repository.worktribe.com/output/1319665

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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/

Copyright Statement
© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access
article distributed under the terms and conditions of the Creative Commons Attribution
(CC BY) license (http://creativecommons.org/licenses/by/4.0/)






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