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Title:
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A multi-objective GA to demand-side management in an automated warehouse
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Author:
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Cárdenas Araújo, Juan José; García Espinosa, Antonio; Romeral Martínez, José Luis; Urresty Betancourt, Julio César
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Other authors:
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Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica; Universitat Politècnica de Catalunya. Departament d'Enginyeria Elèctrica; Universitat Politècnica de Catalunya. MCIA - Motion Control and Industrial Applications Research Group |
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Abstract:
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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. |
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Abstract:
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Peer Reviewed |
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Subject(s):
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-Àrees temàtiques de la UPC::Energies::Energia elèctrica::Automatització i control de l'energia elèctrica
-MOGA
-Genetic algorithms
-Demand-side management (Electric utilities)
-Warehouses -- Management -- Automatic control
-Algorismes genètics
-Energia elèctrica -- Demanda
-Magatzems -- Control automàtic |
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Rights:
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Document type:
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Article - Published version
Conference Object |
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