文章基本信息

标题：Large-scale optimization of households with photovoltaic-battery system and demand response
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作者：Fernando Lezama ; Ricardo Faia ; Omid Abrishambaf 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2020
卷号：53
期号：2
页码：12572-12577
DOI：10.1016/j.ifacol.2020.12.1818
语种：English
出版社：Elsevier
摘要：AbstractThe adoption of distributed resources by households, e.g., storage units and renewables, open the possibility of self-consumption (on-site generation), sell energy to the grid as a small producer, or do both according to the context of operation. In this paper, a framework capturing the interactions between an aggregator and a large number of households is envisaged. We consider households equipped with distributed resources and simple smart technologies that look for the reduction of energy bills and can perform demand response actions. A mixed-integer linear programming formulation that provides optimal scheduling of household devices and minimal operation costs is developed. Results show that the model can be applied considering up to 10000 households. Moreover, households can reduce up to 20% of their energy bill on average using storage units and demand response. Besides, the aggregator can attain profits by offering the resulting flexibility to upper-level players of the energy chain, such as the distribution system operator.
关键词：KeywordsEnergy storageenergy management systemslinear programmingoptimizationrenewable energy systems