Load Balancing in Smart Grids using Multi- Objective Evolutionary Optimization

dc.contributor.authorBouaraki, Mouloud
dc.contributor.authorDekhandji, Fatma Zohra
dc.contributor.authorAbdi, Lina Amel
dc.contributor.authorRecioui, AEM
dc.date.accessioned2022-10-05T08:20:56Z
dc.date.available2022-10-05T08:20:56Z
dc.date.issued2021
dc.description.abstractThe work deals with the balance between the supplied and consumed power in a residential area. An optimization task is formulated and solved. The extension of the optimization task formulation to include renewable sources is also provided. It is shown in the results that using the deployed optimization technique, a significant reduction in the energy usage cost and the waiting time of the appliances (delay) for residential consumers can be achieved. This work can be used in smart home and smart cities applications.en_US
dc.identifier.issn2543-3792
dc.identifier.uriDOI: https://doi.org/10.51485/ajss.v6i3.138
dc.identifier.urihttps://dspace.univ-boumerdes.dz/handle/123456789/10181
dc.language.isofren_US
dc.publisherUniversité M'hamed Bougara de Boumerdèsen_US
dc.relation.ispartofseriesAlgerian Journal of Signals and Systems/ Vol. 6, n° 3 (2021);
dc.subjectLoad balancingen_US
dc.subjectRenewable energiesen_US
dc.subjectMulti-objectiveen_US
dc.subjectEvolutionary optimizationen_US
dc.titleLoad Balancing in Smart Grids using Multi- Objective Evolutionary Optimizationen_US
dc.typeArticleen_US

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