文章基本信息

标题：Hierarchical Model Predictive Control for Building Energy Management of Hybrid Systems
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作者：Amanda Abreu ; Romain Bourdais ; Hérvé Guéguen 等
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