Reference
R. R. Negenborn, M. Houwing, B. De
Schutter, and H. Hellendoorn, "Adaptive prediction model accuracy in the
control of residential energy resources,"
Proceedings of the
17th IEEE International Conference on Control Applications, San Antonio,
Texas, pp. 311-316, Sept. 2008.
Abstract
With the increasing use of distributed energy resources and intelligence in the
electricity infrastructure, the possibilities for minimizing costs of household
energy consumption increase. Technology is moving toward a situation in which
automated energy management systems could control domestic energy generation,
storage, and consumption. In previous work we have proposed a controller based
on model predictive control for controlling an individual household using a
micro combined heat and power plant in combination with heat and electricity
storages. Although the controller provides adequate performance in computer
simulations, the computational time required to determine which actions to take
can be significant, due to the precise predictions made over a long prediction
horizon. In this paper we propose to make the computations less time consuming
by coarsening the quality of the predictions made over the prediction horizon
by decreasing their time resolution. In simulation studies we illustrate the
performance of the proposed approach.
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BibTeX
@inproceedings{NegHou:08-013,
author = {Negenborn, Rudi R. and Houwing, Michiel and De Schutter, Bart
and Hellendoorn, Hans},
title = {Adaptive Prediction Model Accuracy in the Control of
Residential Energy Resources},
booktitle = {Proceedings of the 17th IEEE International Conference on
Control Applications},
address = {San Antonio, Texas},
pages = {311--316},
month = sep,
year = {2008}
}