Reference
T. Pippia, J. Lago, R. De Coninck, J. Sijs, and B. De Schutter, "Scenario-based
model predictive control approach for heating systems in an office building,"
Proceedings of the 15th IEEE International Conference on
Automation Science and Engineering (CASE 2019), Vancouver, Canada, pp.
1243-1248, Aug. 2019.
Abstract
In the context of building heating systems control in office buildings, the
current state-of-the-art applies either a deterministic Model Predictive
Control (MPC) controller together with a nonlinear model, or a linearized model
with a stochastic MPC controller. Deterministic MPC considers only one
realization of the external disturbances, which can lead to a low performance
solution if the forecasts of the disturbances are not accurate. Similarly,
linear models are simplified representations of the building dynamics and might
fail to capture some relevant behavior. In this paper, we improve upon the
current literature by combining these two approaches, i.e. we adopt a nonlinear
model together with a stochastic MPC controller. We consider a scenario-based
MPC (SBMPC), where many realizations of the disturbances are considered, so as
to include more possible future trajectories for the external disturbances. The
adopted scenario generation method provides statistically significant
scenarios, whereas so far in the current literature only approximate methods
have been applied. Moreover, we use Modelica to obtain the model description,
which allows to have a more accurate and nonlinear model. Lastly, we perform
simulations comparing standard MPC vs SBMPC vs an optimal control approach with
measurements of the external disturbances, and we show how our proposed
scenario-based MPC controller can achieve a better performance compared to
standard deterministic MPC.
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BibTeX
@inproceedings{PipLag:19-011,
author = {Pippia, Tomas and Lago, Jesus and De Coninck, Roel and Sijs,
Joris and De Schutter, Bart},
title = {Scenario-Based Model Predictive Control Approach for Heating
Systems in an Office Building},
booktitle = {Proceedings of the 15th IEEE International Conference on
Automation Science and Engineering (CASE 2019)},
address = {Vancouver, Canada},
pages = {1243--1248},
month = aug,
year = {2019}
}