Islanding Detection of Distributed Generation Based on Parallel Inductive Impedance Switching

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Journal Title
Journal ISSN
Volume Title
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
Date
2020-03
Major/Subject
Mcode
Degree programme
Language
en
Pages
11
Series
IEEE Systems Journal
Abstract
This paper deals with a new islanding detection method based on parallel inductive impedance (PII) switching at distributed generation (DG) connection point, and monitoring the rate of change of voltage (dv/dt) at DG output. In the proposed approach, switching the PII causes variation in the dv/dt. This variation is very small in the case that DG operates in parallel with the main grid, whereas the changes will be very large during the occurrence of islanding. Therefore, the dv/dt is employed to identify both the islanding and nonislanding situations; however, to better analyze the dv/dt changes, a fast Fourier transform (FFT) is employed to process the variation of the dv/dt. To select the type of inserted impedance, the effect of switching various impedance types on the FFT (dv/dt) is thoroughly analyzed. It is demonstrated that the purely inductive impedance has better performance than other impedance types. The performance of the proposed method is examined through comprehensive simulation studies in MATLAB. The simulation results indicate that the proposed method retains its efficiency for both inverters- and synchronous-based DGs. Moreover, the proposed method not only has a substantial influence on the reduction of disturbances due to the small amount of PII but also eliminates the nondetection zone entirely in comparison with other available methods.
Description
Keywords
Fast Fourier transform, FFT, Islanding, Parallel inductive impedance, PII, Switching, Rate of change of voltage
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Citation
Rostami, A, Jalilian, A, Zabihi, S, Olamaei, J & Pouresmaeil, E 2020, ' Islanding Detection of Distributed Generation Based on Parallel Inductive Impedance Switching ', IEEE Systems Journal, vol. 14, no. 1, 8766874, pp. 813-823 . https://doi.org/10.1109/JSYST.2019.2923289