Assessment of passive islanding detection methods for DC microgrids

Ahmad Makkieh; Anthony Florida-James; Dimitrios TZELEPIS; Abdullah Emhemed; Graeme Burt; Scott Strachan; Adria Junyent-Ferre

doi:10.1049/cp.2019.0016

Assessment of passive islanding detection methods for DC microgrids

Ahmad Makkieh, Anthony Florida-James, Dimitrios TZELEPIS, Abdullah Emhemed, Graeme Burt, Scott Strachan, Adria Junyent-Ferre

Research output: Contribution to conference › Paper › peer-review

18 Citations (Scopus)

142 Downloads (Pure)

Abstract

This paper provides an assessment of passive islanding detection methods in DC microgrids. In order to analyse the response of a DC microgrid to an islanding event, DC voltage and current signatures are captured locally at the terminals of Distributed Energy Resources (DERs). Further analysis on DC voltage and current measurements is carried out to derive the Rate of Change of Voltage (ROCOV) and the Rate of Change of Current (ROCOC), to distinguish between genuine islanding events and other disturbances. A detailed DC microgrid has been developed in MATLAB/Simulink to analyse the response of the DERs within a DC microgrid during intentional or unintentional islanding events. The results show that these approaches cannot be used to classify and characterise between islanding and non-islanding events caused by high resistive faults for DC microgrids, as the response of the DERs are dependent on the technology and associated control systems,which inﬂuences post event analysis in distinguishing between events.

Original language	English
Pages	1-6
Number of pages	6
DOIs	https://doi.org/10.1049/cp.2019.0016
Publication status	Published - 30 Mar 2019
Event	The 15th IET International Conference on AC and DC Power Transmission - DoubleTree by Hilton Hotel, Coventry, United Kingdom Duration: 5 Feb 2019 → 7 Feb 2019 Conference number: 15 https://events.theiet.org/acdc/

Conference

Conference	The 15th IET International Conference on AC and DC Power Transmission
Abbreviated title	IET ACDC2019
Country/Territory	United Kingdom
City	Coventry
Period	5/02/19 → 7/02/19
Internet address	https://events.theiet.org/acdc/

Keywords

DC microgrid networks
distributed energy resources
distributed control
islanding detection methods

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10.1049/cp.2019.0016

Makkieh-etal-IET-ACDC-2019-Assessment-of-passive-islanding-detection-methods-for-DC-microgridsAccepted author manuscript, 751 KB

Cite this

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title = "Assessment of passive islanding detection methods for DC microgrids",

abstract = "This paper provides an assessment of passive islanding detection methods in DC microgrids. In order to analyse the response of a DC microgrid to an islanding event, DC voltage and current signatures are captured locally at the terminals of Distributed Energy Resources (DERs). Further analysis on DC voltage and current measurements is carried out to derive the Rate of Change of Voltage (ROCOV) and the Rate of Change of Current (ROCOC), to distinguish between genuine islanding events and other disturbances. A detailed DC microgrid has been developed in MATLAB/Simulink to analyse the response of the DERs within a DC microgrid during intentional or unintentional islanding events. The results show that these approaches cannot be used to classify and characterise between islanding and non-islanding events caused by high resistive faults for DC microgrids, as the response of the DERs are dependent on the technology and associated control systems,which inﬂuences post event analysis in distinguishing between events.",

keywords = "DC microgrid networks, distributed energy resources, distributed control, islanding detection methods",

author = "Ahmad Makkieh and Anthony Florida-James and Dimitrios TZELEPIS and Abdullah Emhemed and Graeme Burt and Scott Strachan and Adria Junyent-Ferre",

note = "This paper is a postprint of a paper submitted and accepted to The15th IET international conference on AC and DC Power Transmission and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library.; The 15th IET International Conference on AC and DC Power Transmission, IET ACDC2019 ; Conference date: 05-02-2019 Through 07-02-2019",

year = "2019",

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doi = "10.1049/cp.2019.0016",

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AU - Makkieh, Ahmad

AU - Florida-James, Anthony

AU - TZELEPIS, Dimitrios

AU - Emhemed, Abdullah

AU - Burt, Graeme

AU - Strachan, Scott

AU - Junyent-Ferre, Adria

N1 - Conference code: 15

PY - 2019/3/30

Y1 - 2019/3/30

N2 - This paper provides an assessment of passive islanding detection methods in DC microgrids. In order to analyse the response of a DC microgrid to an islanding event, DC voltage and current signatures are captured locally at the terminals of Distributed Energy Resources (DERs). Further analysis on DC voltage and current measurements is carried out to derive the Rate of Change of Voltage (ROCOV) and the Rate of Change of Current (ROCOC), to distinguish between genuine islanding events and other disturbances. A detailed DC microgrid has been developed in MATLAB/Simulink to analyse the response of the DERs within a DC microgrid during intentional or unintentional islanding events. The results show that these approaches cannot be used to classify and characterise between islanding and non-islanding events caused by high resistive faults for DC microgrids, as the response of the DERs are dependent on the technology and associated control systems,which inﬂuences post event analysis in distinguishing between events.

AB - This paper provides an assessment of passive islanding detection methods in DC microgrids. In order to analyse the response of a DC microgrid to an islanding event, DC voltage and current signatures are captured locally at the terminals of Distributed Energy Resources (DERs). Further analysis on DC voltage and current measurements is carried out to derive the Rate of Change of Voltage (ROCOV) and the Rate of Change of Current (ROCOC), to distinguish between genuine islanding events and other disturbances. A detailed DC microgrid has been developed in MATLAB/Simulink to analyse the response of the DERs within a DC microgrid during intentional or unintentional islanding events. The results show that these approaches cannot be used to classify and characterise between islanding and non-islanding events caused by high resistive faults for DC microgrids, as the response of the DERs are dependent on the technology and associated control systems,which inﬂuences post event analysis in distinguishing between events.

KW - DC microgrid networks

KW - distributed energy resources

KW - distributed control

KW - islanding detection methods

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DO - 10.1049/cp.2019.0016

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T2 - The 15th IET International Conference on AC and DC Power Transmission

Y2 - 5 February 2019 through 7 February 2019

ER -

Assessment of passive islanding detection methods for DC microgrids

Abstract

Conference

Keywords

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