Fault Approximation Tool for Grid-Connected Inverter-Interfaced Distributed Generators

Kennedy, Joel ORCID: https://orcid.org/0000-0002-6489-0845 and Ciufo, Phil and Agalgaonkar, Ashish (2014) Fault Approximation Tool for Grid-Connected Inverter-Interfaced Distributed Generators. In: 2014 Australasian Universities Power Engineering Conference (AUPEC 2014), 28 Sept - 01 Oct 2014, Perth, Australia.


Abstract

A novel fault approximation tool (FAT) is presented for use in distribution networks with a high penetration of inverter-interfaced distributed generation. The FAT does not rely on balanced operation nor an absolute reference point for voltage calculations, both of which are required for Newton-Raphson load flow calculations. Simulations show that the FAT provides an accurate representation of the transient and steady-state fault response for unbalanced faults when juxtaposed with a detailed small-signal model. The 'sub-transient' response of the inverter-interfaced distributed generation is omitted to remove data considered extraneous from the perspective of distribution line protection analysis. The FAT is not appropriate for analysing the efficacy of distributed generation local protection and is inappropriate for islanded applications. The FAT is designed explicitly for the purpose of utility line protection design and analysis.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Files associated with this item cannot be displayed due to copyright restrictions.
Faculty/School / Institute/Centre: No Faculty
Faculty/School / Institute/Centre: No Faculty
Date Deposited: 20 Apr 2022 01:17
Last Modified: 20 Apr 2022 01:17
Uncontrolled Keywords: Electric equipment protection; Electric inverters; Electric load flow
Fields of Research (2020): 40 ENGINEERING > 4008 Electrical engineering > 400805 Electrical energy transmission, networks and systems
Identification Number or DOI: https://doi.org/10.1109/AUPEC.2014.6966578
URI: http://eprints.usq.edu.au/id/eprint/44793

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