Assessment of Passive Islanding Detection Methods for DC Microgrids

Ahmad Makkieh, Anthony Florida-James, D. Tzelepis, A. Emhemed, G. Burt, S. Strachan, A. Junyent-Ferré
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引用次数: 19

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.
直流微电网无源孤岛检测方法评价
本文对直流微电网中无源孤岛检测方法进行了评价。为了分析直流微电网对孤岛事件的响应,在分布式能源(DERs)终端局部捕获直流电压和电流特征。对直流电压和电流测量进行进一步分析,得出电压变化率(ROCOV)和电流变化率(ROCOC),以区分真正的孤岛事件和其他干扰。在MATLAB/Simulink中开发了一个详细的直流微电网,以分析直流微电网中DERs在有意或无意孤岛事件中的响应。结果表明,这些方法不能用于对直流微电网高阻故障引起的孤岛和非孤岛事件进行分类和表征,因为分布式电源的响应依赖于技术和相关的控制系统,这影响了区分事件的事后分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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