Multi-rate decentralized MPC strategy for drinking water networks: application to the Barcelona case study
Tipus de documentText en actes de congrés
Data publicació2012
Condicions d'accésAccés obert
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
In this paper, a multi
-
rate decentralised model predictive control (MDMPC) approach is
proposed for drinking water networks (DWN). The upper temporal layer works with a daily
time
scale and is in charge of achieving the global
objectives
, i.e., optimal selection of the
water
sources and the path to the reservoirs. On the other hand, the lower temporal layer is
in charge of manipulating the set
-
point of the actuators to satisfy the
local objectives, i.e.,
the minimisation of the energy needed for pumping water to the reservoirs.
Once obtained
the
system decomposition
into subsystems,
some bidirectional flows of information
between the MPC controllers
that control the subsystems appea
r
. Hence, the proposed
DMPC strategy co
pes with them
, resulting in a hierarchical
-
like scheme. Results obtained
when used selected simulation scenarios over a partitioned model of the Barcelona DWN
show the effectiveness of the control strategy in terms of
system modularity, reduced
computational burden and, at the same time, the admissible loss of performance in contrast
to a centralised MPC (CMPC) strategy.
CitacióOcampo-Martinez, C.; Puig, V.; Montes de Oca, S. Multi-rate decentralized MPC strategy for drinking water networks: application to the Barcelona case study. A: International Conference on Hydroinformatics. "Proceedings of the HIC 2012 - 10th International Conference on Hydroinformatics". Hamburgo: 2012, p. 1-8.
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1405-Multi-Rate ... e-Barcelona-Case-Study.pdf | 1,123Mb | Visualitza/Obre |