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https://ruomo.lib.uom.gr/handle/7000/591
Title: | Preventing overloading incidents on smart grids: A multiobjective combinatorial optimization approach |
Authors: | Antoniadis, Nikolaos Cordy, Maxime Sifaleras, Angelo Le Traon, Yves |
Editors: | Dorronsoro, Bernabé Ruiz, Patricia de la Torre, Juan Carlos Urda, Daniel Talbi, El-Ghazali |
Type: | Book chapter |
Subjects: | FRASCATI::Natural sciences::Mathematics::Applied Mathematics FRASCATI::Engineering and technology::Electrical engineering, Electronic engineering, Information engineering |
Keywords: | Smart grids Electrical safety Combinatorial optimization Integer linear programming Multiobjective optimization |
Issue Date: | 15-Feb-2020 |
Publisher: | Springer |
Volume: | 1173 |
First Page: | 269 |
Last Page: | 281 |
Volume Title: | Optimization and Learning |
Part of Series: | Communications in Computer and Information Science |
Part of Series: | Communications in Computer and Information Science |
Abstract: | 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. |
URI: | https://doi.org/10.1007/978-3-030-41913-4_22 https://ruomo.lib.uom.gr/handle/7000/591 |
ISBN: | 978-3-030-41912-7 978-3-030-41913-4 |
ISSN: | 1865-0929 1865-0937 |
Other Identifiers: | 10.1007/978-3-030-41913-4_22 |
Appears in Collections: | Department of Applied Informatics |
Files in This Item:
File | Description | Size | Format | |
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Preventing_overloading_incidents_on_smart_grids._A_multiobjective_combinatorial_optimisation_approach.pdf | 285,84 kB | Adobe PDF | View/Open |
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