Publication
Multi-rate decentralized MPC strategy for drinking water networks: Application to the Barcelona case study
Conference Article
Conference
International Conference on Hydroinformatics (HIC)
Edition
10th
Pages
1-8
Doc link
http://hic2012.org/file.php/Presentaion-program-detailed-final-revised4.pdf
File
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 appear. Hence, the proposed DMPC strategy copes 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.
Categories
control theory, optimisation, social aspects of automation.
Scientific reference
C. Ocampo-Martínez, V. Puig and S. Montes. Multi-rate decentralized MPC strategy for drinking water networks: Application to the Barcelona case study, 10th International Conference on Hydroinformatics, 2012, Hamburg, pp. 1-8, IWA.
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