In this paper, a multi-layer model predictive control (MPC) with temporal multi-level coordination for regional water supply systems is proposed. First, a multi-layer control structure resulting from a functional decomposition of water network is briefly presented. Inside each layer, an MPC based controller is used. Between related layers, a temporal multi-level coordination mechanism is used to generate control strategies which consider objectives and time scales of both layers. The upper layer which is named supply layer works in a daily scale in order to achieve the global management policies for the different reservoirs. The lower layer which is named transportation layer works in an hourly scale and is in charge of manipulating the actuators (pumps and valves) set-point to satisfy the local objectives. The results of the modelling will be applied to the Catalunya Regional Water Network and this paper presents the simulation results based on an aggregate model of this network.
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Research Article|
February 18 2014
Temporal multi-level coordination techniques oriented to regional water networks: application to the Catalunya case study
Cong Cong Sun;
Cong Cong Sun
1Advanced Control Systems Group at the Institut de Robòtica i Informática Industrial (CSIC-UPC), Llorens i Artigas, 4-6, 08028 Barcelona, Spain
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Vicenç Puig;
1Advanced Control Systems Group at the Institut de Robòtica i Informática Industrial (CSIC-UPC), Llorens i Artigas, 4-6, 08028 Barcelona, Spain
E-mail: [email protected]
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Gabriela Cembrano
Gabriela Cembrano
1Advanced Control Systems Group at the Institut de Robòtica i Informática Industrial (CSIC-UPC), Llorens i Artigas, 4-6, 08028 Barcelona, Spain
2CETaqua, Water Technology Centre at Esplugues 75, Cornellá de Llobregat, 08940, Barcelona, Spain
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Journal of Hydroinformatics (2014) 16 (4): 952–970.
Article history
Received:
June 17 2013
Accepted:
January 14 2014
Citation
Cong Cong Sun, Vicenç Puig, Gabriela Cembrano; Temporal multi-level coordination techniques oriented to regional water networks: application to the Catalunya case study. Journal of Hydroinformatics 1 July 2014; 16 (4): 952–970. doi: https://doi.org/10.2166/hydro.2014.078
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