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Title:
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A genetic algorithm approach to optimization of power peaks in an automated warehouse
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Author:
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Cárdenas Araújo, Juan José; García Espinosa, Antonio; Romeral Martínez, José Luis; Andrade Rengifo, Fabio
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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 genetic algorithm approach to implement demandside management (DSM) in an automated warehouse. It has been based on real data from ASRs and models of prognosis of load profile of ASRs. We took into account two main goals: minimize instantaneous power demand and keeping the performance of the system store and retrieval times. |
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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::Enginyeria electrònica::Components electrònics
-Warehouses -- Management -- Automatic control
-Genetic algorithms
-Demand-side management (Electric utilities)
-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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Published by:
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IEEE Press. Institute of Electrical and Electronics Engineers
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