文章基本信息

标题：Scalability through Decentralization: A Robust Control Approach for the Energy Management of a Building Community
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作者：Georgios Darivianakis ; Angelos Georghiou ; Annika Eichler 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2017
卷号：50
期号：1
页码：14314-14319
DOI：10.1016/j.ifacol.2017.08.1869
语种：English
出版社：Elsevier
摘要：AbstractRecent studies in the literature have shown that cooperative energy management of an aggregation of buildings may lead to substantial energy savings. These approaches typically assume the existence of a central operator that is capable of formulating and solving, within a reasonable amount of time, a centralized optimization problem. However, this requirement may be unrealizable in cases of large scale districts, and it also fails to address privacy concerns of the building occupants. In this paper, we deal with these issues by proposing a decentralized control scheme which only requires the individual buildings to communicate bounds on their energy demands. The proposed method partly alleviates concerns on privacy since this limited communication scheme does not reveal the exact characteristics of the energy usage within each building. In addition, it enables a distributed computation of the solution, making our method highly scalable. We demonstrate through a numerical study the efficacy of the proposed approach, which leads to solutions that closely approximate those obtained by the centralized formulation only at a fraction of the computational effort.
关键词：Keywordsdistributed robust controller synthesisdecentralized controlpredictive controlconvex optimizationbuilding energy management