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Combining model predictive control with constraint-satisfaction formulation for the operative pumping control in water networks
Sun, Congcong; Morley, Mark; Savic, Dragan; Puig Cayuela, Vicenç; Cembrano Gennari, Gabriela; Zhang, Zheng
Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial; Universitat Politècnica de Catalunya. Institut de Robòtica i Informàtica Industrial; Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
This paper proposes a method to combine linear Model Predictive Control (MPC), a Constraint Satisfaction Problem (CSP) formulation and a Network Aggregation Method (NAM) for the predictive operational control of water pumping in DWNs. The proposed method can produce optimal pumping strategies for complex DWNs in short computation times, while avoiding the need for nonlinear programming techniques to cater for non-linear flow-head equations. The proposed approach is simulated using Epanet to represent the hydraulic DWNs. The D-Town benchmark water network is used as a case study.
Peer Reviewed
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
automation
control theory
optimisation
linear MPC
CSP
DWNs
NAM
Epanet
Classificació INSPEC::Optimisation
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
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