Afficher la notice abrégée

Nuclear Power Plant Outage Planning : an exact optimization approach to test robustness to demand variations and power plant availability

hal.structure.identifierEDF R&D [EDF R&D]
hal.structure.identifierReformulations based algorithms for Combinatorial Optimization [Realopt]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorGRISET, Rodolphe
hal.structure.identifierEDF R&D [EDF R&D]
dc.contributor.authorBENDOTTI, Pascale
hal.structure.identifierReformulations based algorithms for Combinatorial Optimization [Realopt]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorDETIENNE, Boris
hal.structure.identifierEDF R&D [EDF R&D]
dc.contributor.authorPETROU, Georgios
hal.structure.identifierEDF R&D [EDF R&D]
dc.contributor.authorPORCHERON, Marc
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierReformulations based algorithms for Combinatorial Optimization [Realopt]
dc.contributor.authorVANDERBECK, François
dc.date.accessioned2024-04-04T03:11:57Z
dc.date.available2024-04-04T03:11:57Z
dc.date.conference2016-11-08
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/193817
dc.description.abstractEnElectricity in France is mainly generated from nuclear power plants. The multi-annual outage planning of these power plants has to comply with various constraints regarding safety, maintenance, logistics and plant operations, while it must lead to a feasible production program at minimum cost. Given the size of the problem, EDF currently uses local search based tools to optimize the planning. This approach leads to important limitations: a search space limited to local solutions around a given planning; optimization at the aggregated level of weekly time steps; and the use of an estimated average production cost of the remaining production to be fulfilled by conventional thermal power plants, rather the actual scenarios of demand and plant availability. We develop an approach that rely on exact mathematical optimization tools in the aim of gradually lifting those limitations. Our model makes use of column and row generation techniques. It considers a wider search space and allows to satisfy the demand at an infra-daily time step. The use of Benders decomposition (via a row generation algorithm) enables us to test robustness over several demand scenarios. Our model can be extended to account for "smooth" fluctuations in nuclear power plant availability.
dc.language.isoen
dc.title.enNuclear Power Plant Outage Planning : an exact optimization approach to test robustness to demand variations and power plant availability
dc.typeCommunication dans un congrès
dc.subject.halInformatique [cs]/Recherche opérationnelle [cs.RO]
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.titlePGMO Day 2016
bordeaux.countryFR
bordeaux.conference.citySaclay
bordeaux.peerReviewedoui
hal.identifierhal-01425765
hal.version1
hal.invitednon
hal.proceedingsnon
hal.conference.end2016-11-09
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01425765v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.au=GRISET,%20Rodolphe&BENDOTTI,%20Pascale&DETIENNE,%20Boris&PETROU,%20Georgios&PORCHERON,%20Marc&rft.genre=unknown


Fichier(s) constituant ce document

FichiersTailleFormatVue

Il n'y a pas de fichiers associés à ce document.

Ce document figure dans la(les) collection(s) suivante(s)

Afficher la notice abrégée