An Islanding Detection Technique for Inverter-Based Distributed Generation in Microgrids
Mazaher Karimi,
Mohammad Farshad,
Qiteng Hong,
Hannu Laaksonen and
Kimmo Kauhaniemi
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Mazaher Karimi: School of Technology and Innovations, University of Vaasa, Wolffintie 34, FI-65200 Vaasa, Finland
Mohammad Farshad: Department of Electrical Engineering, Faculty of Basic Sciences and Engineering, Gonbad Kavous University, Gonbad Kavous 49717-99151, Iran
Qiteng Hong: Department of Electronics and Electrical Engineering, University of Strathclyde, Glasgow G1 1XW, UK
Hannu Laaksonen: School of Technology and Innovations, University of Vaasa, Wolffintie 34, FI-65200 Vaasa, Finland
Kimmo Kauhaniemi: School of Technology and Innovations, University of Vaasa, Wolffintie 34, FI-65200 Vaasa, Finland
Energies, 2020, vol. 14, issue 1, 1-18
Abstract:
This article proposes a new passive islanding detection technique for inverter-based distributed generation (DG) in microgrids based on local synchrophasor measurements. The proposed method utilizes the voltage and current phasors measured at the DG connection point (point of connection, PoC). In this paper, the rate of change of voltages and the ratio of the voltage and current magnitudes (VoI index) at the PoC are monitored using micro-phasor measurement units. The developed local measurements based decentralized islanding detection technique is based on the VoI index in order to detect any kind of utility grid frequency fluctuations or oscillations and distinguishing them from islanding condition. The simulation studies confirm that the proposed scheme is accurate, robust, fast, and simple to implement for inverter-based DGs.
Keywords: distributed generation; inverter-based generation; islanding detection; microgrid; non-detection zone; point of DG connection; VoI index (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (1)
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