Reference
S. S. Farahani, Z. Lukszo, T. Keviczky, B.
De Schutter, and
R. M. Murray, "Robust
model predictive control for an uncertain smart thermal grid,"
Proceedings of the 2016 European Control Conference, Aalborg,
Denmark, pp. 1195-1200, June-July 2016.
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.
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BibTeX
@inproceedings{FarLuk:16-004,
author = {Farahani, Samira S. and Lukszo, Zofia and Keviczky, Tam{\'a}s
and De Schutter, Bart and Murray, Richard M.},
title = {Robust Model Predictive Control for an Uncertain Smart Thermal
Grid},
booktitle = {Proceedings of the 2016 European Control Conference},
address = {Aalborg, Denmark},
pages = {1195--1200},
month = jun # {--} # jul,
year = {2016}
}