Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/50820
Title: Islanding detection based on impedance estimation using small signal injection
Keywords: Power quality
Smart grids
Islanding detection
Impedance estimation
Multiple islanding detection
Issue Date: Jul-2022
Publisher: Elsevier
Citation: MOSTARO, M. et al. Islanding detection based on impedance estimation using small signal injection. International Journal of Electrical Power & Energy Systems, [S.l.], v. 139, p. 1-9, July 2022. DOI: 10.1016/j.ijepes.2022.107983.
Abstract: This paper presents a new impedance estimation approach for islanding detection (ID). To estimate the impedance seen by the distributed generator (DG), a small signal produced by the DG’s electronic converter is injected into the power system. This signal produces small disturbances in the network that enable the estimation of the impedance without causing major damage to its power quality. In the proposed method, an islanding event is detected if the measured impedance exceeds a pre-defined threshold. This methodology provides better stability against many non-islanding events, avoiding false ID tripping. Additionally, it can identify islanding events even in the case of a perfect power balance condition. Validation was performed using the Hardware-in-the-Loop (HIL) approach. The results showed that the proposed method is superior to an existing active method in the literature for distinguishing islanding and non-islanding events. The methodology can be used for the case where more than two generators are connected at the same access point.
URI: https://www.sciencedirect.com/science/article/pii/S0142061522000308
http://repositorio.ufla.br/jspui/handle/1/50820
Appears in Collections:DEG - Artigos publicados em periódicos

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