Reference : Preventing Overloading Incidents on Smart Grids: A Multiobjective Combinatorial Optim...

	Document type :	Scientific congresses, symposiums and conference proceedings : Unpublished conference
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/41329

Title :	Preventing Overloading Incidents on Smart Grids: A Multiobjective Combinatorial Optimization Approach
Language :	English
Author, co-author :	Antoniadis, Nikolaos [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Cordy, Maxime [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Sifaleras, Angelo [University of Macedonia, Thessaloniki, Greece > Department of Applied Informatics > > Associate Professor of Mathematical Programming – Network Optimization]
	Le Traon, Yves [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Publication date :	Feb-2020
Number of pages :	12
Peer reviewed :	Yes
Audience :	International
Event name :	3rd International Conference on Optimization and Learning
Event date :	from 17-02-2020 to 19-02-2020
Event organizer :	University of Cadiz
Event place (city) :	Cadiz
Event country :	Spain
Keywords :	[en] Smart grids ; Electrical safety ; Combinatorial Optimization ; Integer linear programming
Abstract :	[en] Cable overloading is one of the most critical disturbances that may occur in smart grids, as it can cause damage to the distribution power lines. Therefore, the circuits are protected by fuses so that, the overload could trip the fuse, opening the circuit, and stopping the flow and heating. However, sustained overloads, even if they are below the safety limits, could also damage the wires. To prevent overload, smart grid operators can switch the fuses on or off to protect the circuits, or remotely curtail the over-producing/over-consuming users. Nevertheless, making the most appropriate decision is a daunting decision-making task, notably due to contractual and technical obligations. In this paper, we define and formulate the overloading prevention problem as a Multiobjective Mixed Integer Quadratically Constrained Program. We also suggest a solution method using a combinatorial optimization approach with a state-of-the-art exact solver. We evaluate this approach for this real-world problem together with Creos Luxembourg S.A., the leading grid operator in Luxembourg, and show that our method can suggest optimal countermeasures to operators facing potential overloading incidents.
Permalink :	http://hdl.handle.net/10993/41329

	File(s) associated to this reference
	Fulltext file(s): File Commentary Version Size Access Open access OLA2020-Camera Ready.pdf Author preprint 256.31 kB View/Open

All documents in ORBi^lu are protected by a user license.

 

University of Luxembourg Library |  Feedback |  Legal notices Site Map