Reference:
M. Houwing,
R.R. Negenborn,
M.D. Ilic, and
B. De Schutter,
"Model predictive control of fuel cell micro cogeneration systems,"
Proceedings of the 2009 IEEE International Conference on
Networking, Sensing and Control, Okayama, Japan, pp. 708-713,
Mar. 2009.
Abstract:
With the increasing application of distributed energy resources and
information technologies in the electricity infrastructure, innovative
possibilities for incorporating the demand side more actively in power
system operation are enabled. At the residential level energy costs
could be reduced with intelligent price-based control concepts (demand
response). A promising, controllable, residential distributed
generation technology is micro cogeneration (micro-CHP). Micro-CHP is
an energy efficient technology that simultaneously provides heat and
electricity to households during operation. This paper presents a
detailed model of a household using a proton exchange membrane fuel
cell (PEMFC) micro-CHP system in conjunction with heat storage options
to fulfil its heat and part of its electricity demand. Furthermore, a
decentralised controller based on a model predictive control (MPC)
strategy is proposed. MPC can take benefit of future knowledge on
prizes and energy demands and can therefore lead to better system
performance. In simulations the performance of the MPC-controlled
PEMFC system is illustrated under different conditions regarding
energy pricing, domestic energy demand, and system configuration.