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Micro-Grid Autonomous Operation During and Subsequent to Islanding Process

Katiraei, F., Iravani, M.R., Lehn, P.W.·2005·IEEE Transactions on Power Delivery

Abstract

This paper investigates (i) preplanned switching events and (ii) fault events that lead to islanding of a distribution subsystem and formation of a micro-grid. The micro-grid includes two distributed generation (DG) units. One unit is a conventional rotating synchronous machine and the other is interfaced through a power electronic converter. The interface converter of the latter unit is equipped with independent real and reactive power control to minimize islanding transients and maintain both angle stability and voltage quality within the micro-grid. The studies are performed based on a digital computer simulation approach using the PSCAD/EMTDC software package. The studies show that an appropriate control strategy for the power electronically interfaced DG unit can ensure stability of the micro-grid and maintain voltage quality at designated buses, even during islanding transients. This paper concludes that presence of an electronically-interfaced DG unit makes the concept of micro-grid a technically viable option for further investigations.

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Metadata

Authors
Katiraei, F., Iravani, M. R., & Lehn, P. W.
Venue
IEEE Transactions on Power Delivery
Published
2005-01
Volume
20
Issue
1
Pages
248-257
ISSN
0885-8977 (ISSN-L)
OpenAlex
W2000920265
Cited by
1,150
References
0
FWCI
40.18
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Micro-Grid Autonomous Operation During and Subsequent to Islanding Process. https://app.cochat.ai/papers/10.1109/tpwrd.2004.835051
The paper
Katiraei, F., Iravani, M. R., & Lehn, P. W. (2005). Micro-Grid Autonomous Operation During and Subsequent to Islanding Process. IEEE Transactions on Power Delivery. https://doi.org/10.1109/tpwrd.2004.835051

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.