Model-Based Predictive Control Scheme for Cost Optimization and Balancing Services for Supermarket Refrigeration Systems

Hermanus H. M. Weerts, Seyed Ehsan Shafiei, Jakob Stoustrup, Roozbeh Izadi-Zamanabadi

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

6 Citations (Scopus)
425 Downloads (Pure)

Abstract

A new formulation of model predictive control for supermarket refrigeration systems is proposed to facilitate the regulatory power services as well as energy cost optimization of such systems in the smart grid. Nonlinear dynamics existed in large-scale refrigeration plants challenges the predictive control design. It is however shown that taking into account the knowledge of different time scales in the dynamical subsystems makes possible a linear formulation of a centralized predictive controller. A realistic scenario of regulatory power services in the smart grid is considered and formulated in the same objective as of cost optimization one. A simulation benchmark validated against real data and including significant dynamics of the system are employed to show the effectiveness of the proposed control scheme.
Original languageEnglish
Title of host publicationProceedings of the 19th IFAC World Congress, 2014
Volume19
PublisherIFAC Publisher
Publication date2014
Edition1
Pages975-980
ISBN (Print)978-3-902823-62-5
DOIs
Publication statusPublished - 2014
Event19th World Congress of the International Federation of Automatic Control, IFAC 2014 - Cape Town, South Africa
Duration: 24 Aug 201429 Aug 2014

Conference

Conference19th World Congress of the International Federation of Automatic Control, IFAC 2014
Country/TerritorySouth Africa
CityCape Town
Period24/08/201429/08/2014
SeriesI F A C Workshop Series
ISSN1474-6670

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