Adaptive prediction model accuracy in the control of residential energy resources

Adaptive prediction model accuracy in the control of residential energy resources

Negenborn, R.R.
Houwing, M.
De Schutter, B.
Hellendoorn, H.

Mechanical, Maritime and Materials Engineering

Delft Center for Systems and Control

2008-09-01

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.

adaptive control
distributed power generation
energy management systems
power distribution control
predictive control

http://resolver.tudelft.nl/uuid:23c335ee-9995-42a0-ab9f-5ac49469923f

https://doi.org/10.1109/CCA.2008.4629674

IEEE

9781424422227

Proceedings of the 17th IEEE International Conference on Control Applications, CCA 2008: Multi-conference on Systems and Control, 3-5 September 2008, San Antonio, TX, USA

Institutional Repository

conference paper

(c) 2008 The Author(s)
IEEE