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A multi-objective GA to demand-side management in an automated warehouse
dc.contributor.author | Cárdenas Araújo, Juan José |
dc.contributor.author | García Espinosa, Antonio |
dc.contributor.author | Romeral Martínez, José Luis |
dc.contributor.author | Urresty Betancourt, Julio César |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria Elèctrica |
dc.date.accessioned | 2012-02-17T15:21:59Z |
dc.date.available | 2012-02-17T15:21:59Z |
dc.date.created | 2009 |
dc.date.issued | 2009 |
dc.identifier.citation | Cardenas, J. [et al.]. A multi-objective GA to demand-side management in an automated warehouse. A: IEEE International Conference on Emerging Technologies and Factory Automation. "Emerging Technologies & Factory Automation, 2009. ETFA 2009. IEEE Conference on". Mallorca: 2009, p. 1-7. |
dc.identifier.isbn | 1946-0759 |
dc.identifier.uri | http://hdl.handle.net/2117/15222 |
dc.description.abstract | The simultaneous operation of the automated storage and retrieval machines (ASRs) in an automated warehouse can increase the likelihood that high power demand peaks turn unstable the electric system. Furthermore, high power peaks mean the need for more electrical power contracted, which in turns leads to more fixed operation cost and inefficient use of the electrical installations. In this context, we present a multi-objective genetic algorithm approach (MOGA) to implement demand-side management (DSM) in an automated warehouse. It works minimizing the total energy demand, but without increasing substantially the time for the operation. Simulations show the performances of the new approach. |
dc.format.extent | 7 p. |
dc.language.iso | eng |
dc.subject | Àrees temàtiques de la UPC::Energies::Energia elèctrica::Automatització i control de l'energia elèctrica |
dc.subject.lcsh | MOGA |
dc.subject.lcsh | Genetic algorithms |
dc.subject.lcsh | Demand-side management (Electric utilities) |
dc.subject.lcsh | Warehouses -- Management -- Automatic control |
dc.title | A multi-objective GA to demand-side management in an automated warehouse |
dc.type | Conference report |
dc.subject.lemac | Algorismes genètics |
dc.subject.lemac | Energia elèctrica -- Demanda |
dc.subject.lemac | Magatzems -- Control automàtic |
dc.contributor.group | Universitat Politècnica de Catalunya. MCIA - Motion Control and Industrial Applications Research Group |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://cataleg.upc.edu/record=b1315235~S1*cat |
dc.rights.access | Open Access |
local.identifier.drac | 5846483 |
dc.description.version | Postprint (published version) |
local.citation.author | Cardenas, J.; Garcia, A.; Romeral, L.; Urresty, J. |
local.citation.contributor | IEEE International Conference on Emerging Technologies and Factory Automation |
local.citation.pubplace | Mallorca |
local.citation.publicationName | Emerging Technologies & Factory Automation, 2009. ETFA 2009. IEEE Conference on |
local.citation.startingPage | 1 |
local.citation.endingPage | 7 |