Journal
IET RENEWABLE POWER GENERATION
Volume 14, Issue 10, Pages 1710-1719Publisher
INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-rpg.2019.1174
Keywords
distributed power generation; power system harmonics; power grids; photovoltaic power systems; power distribution faults; invertors; power distribution reliability; IDM; UL 1741 standards; case study system; provided outputs; accurate islanding classification; islanding standards; nondetection zone; detection time; new voltage feedback-based islanding detection method; fast voltage feedback-based islanding detection method; precise voltage feedback-based islanding detection method; grid-connected photovoltaic systems based microgrid; output voltage; active power output; islanded mode; applied disturbance; common coupling voltage; standard setting; time 810; 0 ms
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This study proposes a fast and precise voltage feedback-based islanding detection method (IDM) for grid-connected photovoltaic systems (GCPVSs) based microgrid. In this algorithm, a disturbance containing the absolute deviation of the output voltage is injected into the inverter'sd-axis reference current which tunes the active power output. In islanded mode, the applied disturbance reduces the active power output and consequently point of common coupling voltage beyond the standard setting while its effect at the presence of the grid is negligible. The assessment of the proposed IDM has been conducted in the MATLAB/Simulink platform under extensive scenarios defined by IEEE 1547-2008 and UL 1741 standards for a case study system with two large-scale GCPVSs. The provided outputs remark accurate islanding classification in all cases within 810 ms, much lower than the maximum permissible time postulated in islanding standards. This time is short enough to restore GCPVS for autonomous operation of microgrid as well. The comparative analysis of the proposed strategy with a few existing IDMs confirmed its overall superiorities in the terms of non-detection zone, detection time, being applicable into the microgrid, simple threshold determination, and straightforward and cost-effective implementation.
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