Model Predictive Control for Residential Energy Resources Using a
Mixed-Logical Dynamic Model
Reference
R.R. Negenborn,
M. Houwing,
B. De Schutter, and
J. Hellendoorn,
"Model Predictive Control for Residential Energy Resources Using a
Mixed-Logical Dynamic Model," Proceedings of the 2009
IEEE International Conference on Networking, Sensing and
Control, Okayama, Japan, pp. 702-707, Mar. 2009.
Abstract
With the increase in the number of distributed energy resources and
the amount of intelligence in electricity infrastructures, the
possibilities for minimizing costs of household energy consumption
increase. Household systems are hybrid systems, in the sense that they
exhibit both continuous and discrete dynamics. In this paper the
mixed-logical dynamic framework is used to construct a dynamic model
of a household system equipped with distributed energy resources. A
model predictive controller (MPC) is then proposed that uses the
mixed-logical dynamic model to control the energy flows inside the
household. In simulation studies we assess the performance of the
proposed controller, and we illustrate how additional profits can be
obtained by increasing the decision freedom of the controller.
Downloads
- Corresponding technical report:
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Bibtex entry
@inproceedings{NegDeS:08-028,
author={R.R. Negenborn and M. Houwing and B. {D}e Schutter and J.
Hellendoorn},
title={Model Predictive Control for Residential Energy Resources Using a
Mixed-Logical Dynamic Model},
booktitle={Proceedings of the 2009 IEEE International Conference on Networking,
Sensing and Control},
address={Okayama, Japan},
pages={702--707},
month=mar,
year={2009}
}
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Last update: February 21, 2026.