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Extended Formulation for Maintenance Planning at Power Plants

hal.structure.identifierReformulations based algorithms for Combinatorial Optimization [Realopt]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorHAN, Jinil
hal.structure.identifierEDF R&D [EDF R&D]
dc.contributor.authorBENDOTTI, Pascale
hal.structure.identifierReformulations based algorithms for Combinatorial Optimization [Realopt]
hal.structure.identifierUniversité Sciences et Technologies - Bordeaux 1 [UB]
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.identifierReformulations based algorithms for Combinatorial Optimization [Realopt]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorSADYKOV, Ruslan
hal.structure.identifierReformulations based algorithms for Combinatorial Optimization [Realopt]
dc.contributor.authorVANDERBECK, François
dc.date.accessioned2024-04-04T02:19:46Z
dc.date.available2024-04-04T02:19:46Z
dc.date.created2014
dc.date.conference2014-02-26
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/189435
dc.description.abstractEnWe consider the large-scale power plant maintenance scheduling and production planning problem submitted by EDF to the 2010 Euro/Roadef Challenge. Two types of power plants are used to satisfy a customer demand over a specific time horizon. Type 1 plants can operate continuously while Type 2 plants have to be shut down regularly for refuelling and maintenance, and cannot produce during outage periods. The decision to be made consists of the dates of outages, the amount of refuel for Type 2 plants, and production level for both types of plants. The objective is to minimize the average cost of refuelling and production on various demand scenarios. In this work, we propose a novel column generation approach based on extended formulation which enables to solve within a few minutes a deterministic instance of the problem on a three years horizon, which is within the time frame of the operational tools currently used by EDF. Moreover, the approach can easily account for various demand scenarios. Our approach is tested on real life instances within a rolling horizon framework.
dc.language.isofr
dc.subject.enenergy
dc.subject.enelectricity production
dc.subject.enmaintenance planning
dc.subject.encolumn generation
dc.subject.enrolling horizon
dc.title.enExtended Formulation for Maintenance Planning at Power Plants
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.titleROADEF - 15ème congrès annuel de la Société française de recherche opérationnelle et d'aide à la décision
bordeaux.countryFR
bordeaux.conference.cityBordeaux
bordeaux.peerReviewedoui
hal.identifierhal-00946294
hal.version1
hal.invitednon
hal.proceedingsnon
hal.conference.organizerSociété française de recherche opérationnelle et d'aide à la décision
hal.conference.end2014-02-28
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00946294v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.au=HAN,%20Jinil&BENDOTTI,%20Pascale&DETIENNE,%20Boris&PETROU,%20Georgios&PORCHERON,%20Marc&rft.genre=unknown


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