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  • 标题:Hierarchical Model Predictive Control for Building Energy Management of Hybrid Systems
  • 本地全文:下载
  • 作者:Amanda Abreu ; Romain Bourdais ; Hérvé Guéguen
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:16
  • 页码:235-240
  • DOI:10.1016/j.ifacol.2018.08.040
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn this paper a two-layer controller is proposed to tackle the building energy management problem for hybrid systems at different levels of abstraction and different time scales. In the upper layer a relaxed long term energy allocation problem with a large decision time step is defined, taking into account the energy prices, the comfort requirements, and a global power constraint. The discrete decision variables are considered only in the lower layer, where the continuous global solution computed by the first optimization is projected into local mixed-integer programming (MIP) tracking problems with a shorter prediction horizon and a higher sampling rate. To fulfill the building global power constraint each load has a specific priority to access the available power, following a non-iterative priority algorithm.
  • 关键词:KeywordsHierarchical controlhybrid systemsbuilding energy management systems
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