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.