Assessment of passive islanding detection methods for DC microgrids

Research output: Contribution to conferencePaper

25 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 languageEnglish
Pages1-6
Number of pages6
DOIs
Publication statusPublished - 30 Mar 2019
EventThe 15th IET International Conference on AC and DC Power Transmission - DoubleTree by Hilton Hotel , Coventry, United Kingdom
Duration: 5 Feb 20197 Feb 2019
Conference number: 15
https://events.theiet.org/acdc/

Conference

ConferenceThe 15th IET International Conference on AC and DC Power Transmission
Abbreviated titleIET ACDC2019
CountryUnited Kingdom
CityCoventry
Period5/02/197/02/19
Internet address

Fingerprint

Energy resources
Voltage measurement
Electric potential
Electric current measurement
MATLAB
Control systems

Keywords

  • DC microgrid networks
  • distributed energy resources
  • distributed control
  • islanding detection methods

Cite this

Makkieh, A., Florida-James, A., TZELEPIS, D., Emhemed, A., Burt, G., Strachan, S., & Junyent-Ferre, A. (2019). Assessment of passive islanding detection methods for DC microgrids. 1-6. Paper presented at The 15th IET International Conference on AC and DC Power Transmission, Coventry, United Kingdom. https://doi.org/10.1049/cp.2019.0016
Makkieh, Ahmad ; Florida-James, Anthony ; TZELEPIS, Dimitrios ; Emhemed, Abdullah ; Burt, Graeme ; Strachan, Scott ; Junyent-Ferre, Adria. / Assessment of passive islanding detection methods for DC microgrids. Paper presented at The 15th IET International Conference on AC and DC Power Transmission, Coventry, United Kingdom.6 p.
@conference{455d5a41835b4a64a0070d8ac8e7f644,
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",
month = "3",
day = "30",
doi = "10.1049/cp.2019.0016",
language = "English",
pages = "1--6",
url = "https://events.theiet.org/acdc/",

}

Makkieh, A, Florida-James, A, TZELEPIS, D, Emhemed, A, Burt, G, Strachan, S & Junyent-Ferre, A 2019, 'Assessment of passive islanding detection methods for DC microgrids' Paper presented at The 15th IET International Conference on AC and DC Power Transmission, Coventry, United Kingdom, 5/02/19 - 7/02/19, pp. 1-6. https://doi.org/10.1049/cp.2019.0016

Assessment of passive islanding detection methods for DC microgrids. / Makkieh, Ahmad; Florida-James, Anthony; TZELEPIS, Dimitrios; Emhemed, Abdullah; Burt, Graeme; Strachan, Scott; Junyent-Ferre, Adria.

2019. 1-6 Paper presented at The 15th IET International Conference on AC and DC Power Transmission, Coventry, United Kingdom.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Assessment of passive islanding detection methods for DC microgrids

AU - Makkieh, Ahmad

AU - Florida-James, Anthony

AU - TZELEPIS, Dimitrios

AU - Emhemed, Abdullah

AU - Burt, Graeme

AU - Strachan, Scott

AU - Junyent-Ferre, Adria

N1 - 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.

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

U2 - 10.1049/cp.2019.0016

DO - 10.1049/cp.2019.0016

M3 - Paper

SP - 1

EP - 6

ER -

Makkieh A, Florida-James A, TZELEPIS D, Emhemed A, Burt G, Strachan S et al. Assessment of passive islanding detection methods for DC microgrids. 2019. Paper presented at The 15th IET International Conference on AC and DC Power Transmission, Coventry, United Kingdom. https://doi.org/10.1049/cp.2019.0016