Assessment of passive islanding detection methods for DC microgrids

Makkieh, Ahmad and Florida-James, Anthony and TZELEPIS, Dimitrios and Emhemed, Abdullah and Burt, Graeme and Strachan, Scott and Junyent-Ferre, Adria (2019) Assessment of passive islanding detection methods for DC microgrids. In: The 15th IET International Conference on AC and DC Power Transmission, 2019-02-05 - 2019-02-07, DoubleTree by Hilton Hotel.

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    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.