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Dynamic Resource Allocation in Power Grids using Evolving Gene Regulatory Networks

Fernández Pérez, Iñaki and André, Pierre and Cussat-Blanc, Sylvain and Berro, Alain and Luga, Hervé Dynamic Resource Allocation in Power Grids using Evolving Gene Regulatory Networks. (2018) In: Conference on Artificial Life (ALIFE 2018), 23 July 2018 - 27 July 2018 (Tokyo, Japan).

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Official URL: http://2018.alife.org/accepted-late-breaking-papers/

Abstract

Resource allocation and deployment is a ubiquitous logistics optimization problem, e.g. in delivery services, industrial production, and business management. We describe a bioinspired optimization system for allocating resources, based on Gene Regulatory Networks (GRNs)(see (Disset et al.(2017)) for details). Specifically, our system allocates intervention teams to be deployed during catastrophic cli- matic events to sites with failures in an electrical distribution grid covering 17000 km 2 . Our work is concerned with the minimization of the breakdown time for the users of the power grid. Here, we describe our system, including the allocation problem, the choice of GRN as control system and its optimization with an Evolutionary Algorithm (EA), and a test scenario of the deployment of teams to repair failures during a heavy storm.

Item Type:Conference or Workshop Item (Paper)
HAL Id:hal-02130156
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Toulouse Tech Transfer (FRANCE)
Laboratory name:
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Deposited By: IRIT IRIT
Deposited On:23 Apr 2019 15:02

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