Reference : Load approximation for uncertain topologies in the low-voltage grid

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Security, Reliability and Trust
	To cite this reference:	http://hdl.handle.net/10993/44335

Title :	Load approximation for uncertain topologies in the low-voltage grid
Language :	English
Author, co-author :	Mouline, Ludovic [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Cordy, Maxime [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Le Traon, Yves [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Computer Science and Communications Research Unit (CSC) >]
Publication date :	Nov-2020
Main document title :	INTERNATIONAL CONFERENCE ON SMART GRID COMMUNICATIONS, 11-13 November 2020
Pages :	1-6
Peer reviewed :	Yes
On invitation :	No
Audience :	International
Event name :	INTERNATIONAL CONFERENCE ON SMART GRID COMMUNICATIONS
Event date :	from 11-11-2020 to 13-11-2020
Keywords :	[en] Smart grid ; uncertainty ; propagation
Abstract :	[en] Smart grids allow operators to monitor the grid continuously, detect occurring incidents, and trigger corrective actions. To perform that, they require a deep understanding of the effective situation within the grid. However, some parameters of the grid may not be known with absolute confidence. Reasoning over the grid despite uncertainty needs the consideration of all possible states. In this paper, we propose an approach to enumerate only valid potential grid states. Thereby, we allow discarding invalid assumptions that poison the results of a given computation procedure. We validate our approach based on a real-world topology from the power grid in Luxembourg. We show that the estimation of cable load is negatively affected by invalid fuse state combinations, in terms of computation time and accuracy.
Permalink :	http://hdl.handle.net/10993/44335
DOI :	10.1109/SmartGridComm47815.2020.9302940

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