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AuthorVardakas, John S.
AuthorZorba, Nizar
AuthorVerikoukis, Christos V.
Available date2024-07-14T07:57:20Z
Publication Date2015
Publication NameApplied Energy
ResourceScopus
Identifierhttp://dx.doi.org/10.1016/j.apenergy.2014.12.060
ISSN3062619
URIhttp://hdl.handle.net/10576/56594
AbstractSmart grid technology is considered as the ultimate solution to challenges that emerge from the increasing power demands, the subsequent increase in pollution, and the outmoded power grid infrastructure. The successful implementation of the smart grid is mainly driven by the utilization of modern communication technologies, which aim at the provision of advanced demand side management mechanisms, such as demand response. In this paper, we present and analyze four power-demand scheduling scenarios that aim to reduce the peak demand in a smart grid infrastructure. The proposed scenarios consider that each consumer is equipped with a certain number of appliances of different power demands and different operational times, while the percentage of consumers that agree to participate in the demand scheduling program is also incorporated in our models. We provide the analysis for the determination of the peak demand in a residential area, based on recursive formulas. The proposed analysis is validated through simulations; the accuracy of the analytical models is found to be quite satisfactory. Moreover, we unveil the consistency and necessity of the proposed scenarios and corresponding analytical models.
Languageen
PublisherElsevier
SubjectDemand scheduling
Performance evaluation
Power demand
Smart grid
TitlePerformance evaluation of power demand scheduling scenarios in a smart grid environment
TypeArticle
Pagination164-178
Volume Number142
dc.accessType Abstract Only


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