Hierarchical Model Predictive Control for Building Energy Management of Hybrid Systems. Issue 16 (2018)

• Record Type: Journal Article
• Authors: Abreu, Amanda; Bourdais, Romain; Guéguen, Hérvé
• Is Part Of: IFAC-PapersOnLine. Volume 51:Issue 16(2018)
• Page Start: 235
• Page End: 240
• Publication Date: 2018
• Subjects: Hierarchical control -- hybrid systems -- building energy management systems; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2018.08.040
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: In 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.