3 research outputs found
PLIO: a generic tool for real-time operational predictive optimal control of water networks
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). © IWA Publishing 2011.Research in this group is partially supported by by the Generalitat de Catalunya Research Committee, under grant ref. 2009/SGR/1491, by the Spanish Ministry of Science and Technology under grant WATMAN (CICYT DPI2009-13744) and the EU project WIDE (FP7-IST-224168).Peer Reviewe
PLIO: a generic tool for real-time operational predictive optimal control of water networks
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)Peer ReviewedPostprint (author’s final draft