Reference
M. Houwing,
R. R. Negenborn,
P. W. Heijnen, B. De Schutter, and H.
Hellendoorn, "Least-cost model predictive control of residential energy
resources when applying μCHP,"
Proceedings of Power Tech
2007, Lausanne, Switzerland, 6 pp., July 2007. Paper 291.
Abstract
With an 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
households manage their own energy generation and consumption, possibly in
cooperation with each other. As a first step, in this paper a decentralized
controller based on model predictive control is proposed. For an individual
household using a micro combined heat and power (μCHP) plant in combination
with heat and electricity storages the controller determines what the actions
are that minimize the operational costs of fulfilling residential electricity
and heat requirements subject to operational constraints. Simulation studies
illustrate the performance of the proposed control scheme, which is
substantially more cost effective compared with a control approach that does
not include predictions on the system it controls.
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BibTeX
@inproceedings{HouNeg:07-007,
author = {Houwing, Michiel and Negenborn, Rudi R. and Heijnen, Petra W.
and De Schutter, Bart and Hellendoorn, Hans},
title = {Least-Cost Model Predictive Control of Residential Energy
Resources when Applying $\mu${CHP}},
booktitle = {Proceedings of Power Tech 2007},
address = {Lausanne, Switzerland},
month = jul,
year = {2007},
note = {Paper 291}
}