Reference
M. Houwing,
R. R. Negenborn, and B. De
Schutter, "Economic advantages of applying model predictive control to
distributed energy resources: The case of micro-CHP systems,"
Proceedings of the 16th Mediterranean Conference on Control and
Automation (MED'08), Ajaccio, France, pp. 1550-1555, June 2008.
Abstract
The increasing presence of distributed energy resources, information, and
intelligence in the electricity infrastructure increases the possibilities for
larger economic efficiency of power systems. This work shows the possible cost
advantages of applying a model predictive control (MPC) strategy to residential
energy systems. MPC can take future information on energy demand and prices
into account and might lead to lower energy costs for end consumers. The main
objective in this paper is to illustrate the potential for operational cost
savings when adopting MPC in the local control of residential energy systems,
thereby mainly focusing on micro-combined heat and power (micro-CHP) systems.
We conclude that the pricing regime of household energy has a large influence
on potential cost savings.
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BibTeX
@inproceedings{HouNeg:08-009,
author = {Houwing, Michiel and Negenborn, Rudi R. and De Schutter, Bart},
title = {Economic Advantages of Applying Model Predictive Control to
Distributed Energy Resources: {The} Case of Micro-{CHP}
Systems},
booktitle = {Proceedings of the 16th Mediterranean Conference on Control and
Automation (MED'08)},
address = {Ajaccio, France},
pages = {1550--1555},
month = jun,
year = {2008}
}