A supervisory control approach in economic MPC design for refrigeration systems

Seyed Ehsan Shafiei, Jakob Stoustrup, Henrik Rasmussen

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

16 Citations (Scopus)
633 Downloads (Pure)

Abstract

A model predictive control at the supervisory level is proposed for refrigeration systems using price and temperature predictions. The control objective is to minimize the overall energy cost within the prediction horizon. The method is mainly developed for demand-side management in the future smart grid, but a simpler version can be applied in the current electricity market. Due to the system nonlinearity, the minimization is in general a complicated nonconvex optimization problem. A new supervisory control structure as well as an algorithmic pressure control scheme is put forward to rearrange the problem to facilitate convex programming. A nonlinear continuous time model validated by real data is employed to simulate system operation. The results show a considerable economic saving as well as a trade-off between the saving level and design complexity.
Original languageEnglish
Title of host publicationProceedings of the European Control Conference
PublisherIEEE Press
Publication date2013
Pages1565-1570
Publication statusPublished - 2013
EventEuropean Control Conference - Zurich, Switzerland
Duration: 17 Jul 201319 Jul 2013

Conference

ConferenceEuropean Control Conference
Country/TerritorySwitzerland
CityZurich
Period17/07/201319/07/2013

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