Reference:
M. Arnold,
R.R. Negenborn,
G. Andersson, and
B. De Schutter,
"Model-based predictive control applied to multi-carrier energy
systems," Proceedings of the 2009 IEEE PES General Meeting,
Calgary, Canada, July 2009. Paper 09GM1452.
Abstract:
The optimal operation of an integrated electricity and natural gas
infrastructure is investigated. The couplings between the electricity
system and the gas system are modeled by so-called energy hubs, which
represent the interface between the loads on the one hand and the
transmission infrastructures on the other. To increase reliability and
efficiency, storage devices are present in the multi-carrier energy
system. In order to optimally incorporate these storage devices in the
operation of the infrastructure, the capacity constraints and dynamics
of these have to be taken into account explicitly. Therefore, we
propose a model predictive control approach for controlling the
system. This controller takes into account the present constraints and
dynamics, and in addition adapts to expected changes of loads and/or
energy prices. Simulations in which the proposed scheme is applied to
a three-hub benchmark system are presented.
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