Publication
PLIO: a generic tool for real-time operational predictive optimal control of water networks
Journal Article (2011)
Journal
Water Science & Technology
Pages
448-459
Volume
64
Number
2
Doc link
http://dx.doi.org/10.2166/wst.2011.431
File
Authors
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Cembrano Gennari, Gabriela
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Quevedo Casín, Joseba-Jokin
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Puig Cayuela, Vicenç
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Pérez Magrané, Ramón
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Figueras Jové, Jaume
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Verdejo i Rabassó Armengol, Josep Maria
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Escaler Puigoriol, Maria Isabel
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Ramón, Gustavo
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Barnet, Gemma
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Rodríguez Madroño, Pablo
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Casas, Marc
Projects associated
Abstract
This paper presents a generic tool, named PLIO, that allows to implement the real-time operational control of water networks. Control strategies are generated using predictive optimal control techniques. This tool allows the flow management in a large water supply and distribution system including reservoirs, open-flow channels for water transport, water treatment plants, pressurized water pipe networks, tanks, flow/pressure control elements and a telemetry/telecontrol system. Predictive optimal control is used to generate flow control strategies from the sources to the consumer areas to meet future demands with appropriate pressure levels, optimizing operational goals such as network safety volumes and flow control stability. PLIO allows to build the network model graphically and then to automatically generate the model equations used by the predictive optimal controller. Additionally, PLIO can work off-line (in simulation) and on-line (in real-time mode). The case study of Santiago-Chile is presented to exemplify the control results obtained using PLIO off-line (in simulation).
Categories
automation, control theory, optimisation.
Author keywords
real-time control, water systems, predictive control, optimal control, decision support
Scientific reference
G. Cembrano, J. Quevedo, V. Puig, R. Pérez, J. Figueras, J.M. Verdejo i Rabassó, M.I. Escaler, G. Ramón, G. Barnet, P. Rodríguez and M. Casas. PLIO: a generic tool for real-time operational predictive optimal control of water networks. Water Science & Technology, 64(2): 448-459, 2011.
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