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Robust model predictive control for an uncertain smart thermal grid

Farahani, Samira S. and Lukszo, Zofia and Keviczky, Tamás and De Schutter, Bart and Murray, Richard M. (2016) Robust model predictive control for an uncertain smart thermal grid. In: 2016 European Control Conference (ECC). IEEE , Piscataway, NJ, pp. 1195-1200. ISBN 978-1-5090-2591-6. http://resolver.caltech.edu/CaltechAUTHORS:20170118-094026442

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Abstract

The focus of this paper is on modeling and control of Smart Thermal Grids (STGs) in which the uncertainties in the demand and/or supply are included. We solve the corresponding robust model predictive control (MPC) optimization problem using mixed-integer-linear programming techniques to provide a day-ahead prediction for the heat production in the grid. In an example, we compare the robust MPC approach with the robust optimal control approach, in which the day-ahead production plan is obtained by optimizing the objective function for entire day at once. There, we show that the robust MPC approach successfully keeps the supply-demand balance in the STG while satisfying the constraints of the production units in the presence of uncertainties in the heat demand. Moreover, we see that despite the longer computation time, the performance of the robust MPC controller is considerably better than the one of the robust optimal controller.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1109/ECC.2016.7810452 DOIArticle
http://ieeexplore.ieee.org/document/7810452/PublisherArticle
ORCID:
AuthorORCID
Murray, Richard M.0000-0002-5785-7481
Additional Information:© 2016 EUCA. Research partially funded by the Dutch utility company Eneco, and by the Netherlands Organization for Scientific Research (NWO) under the project Aquifer Thermal Energy Storage Smart Grids (ATES-SG), grant number 408-13-030. Moreover, the authors would like to thank Dr. Mathijs de Weerdt and Dr. Matthijs Spaan from Delft University of Technology and the collaborators from AgroEnergy.
Funders:
Funding AgencyGrant Number
EnecoUNSPECIFIED
Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO)408-13-030
Record Number:CaltechAUTHORS:20170118-094026442
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20170118-094026442
Official Citation:S. S. Farahani, Z. Lukszo, T. Keviczky, B. De Schutter and R. M. Murray, "Robust model predictive control for an uncertain smart thermal grid," 2016 European Control Conference (ECC), Aalborg, Denmark, 2016, pp. 1195-1200. doi: 10.1109/ECC.2016.7810452 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7810452&isnumber=7810253
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:73529
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:19 Jan 2017 21:41
Last Modified:19 Jan 2017 21:41

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