Periodic nonlinear economic model predictive control with changing horizon for water distribution networks

A periodic nonlinear economic model predictive control (EMPC) with changing prediction horizon is proposed for the optimal management of water distribution networks (WDNs). The control model of the WDN is built by means of nonlinear differential-algebraic equations in which both the hydraulic pressu...

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Detalhes bibliográficos
Autores: Wang, Ye|||0000-0003-1395-1676, Salvador Ramon, Jose, Puig Cayuela, Vicenç|||0000-0002-6364-6429, Cembrano Gennari, Gabriela|||0000-0003-1436-6022
Formato: artículo
Fecha de publicación:2017
País:España
Recursos:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/112557
Acesso em linha:https://hdl.handle.net/2117/112557
https://dx.doi.org/10.1016/j.ifacol.2017.08.617
Access Level:acceso abierto
Palavra-chave:Automatic control
Predictive control
closed-loop simulations
Economic model predictive control
nonlinear differential-algebraic equations
periodic operation
water distribution networks
Control automàtic
Control predictiu
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
Descrição
Resumo:A periodic nonlinear economic model predictive control (EMPC) with changing prediction horizon is proposed for the optimal management of water distribution networks (WDNs). The control model of the WDN is built by means of nonlinear differential-algebraic equations in which both the hydraulic pressure and flow variables are taken into account. The model allows the controller to consider minimum pressure constraints at the demands. A periodic terminal constraint is employed in order to guarantee closed-loop stability. The prediction horizon is modified on-line in order to guarantee convergence to the optimal periodic trajectory. The proposed control strategy is verified with the case study of the Richmond water network in a realistic hydraulic simulator. Although there are modeling errors between the control model and hydraulic model, the closed-loop system converges to a sub-optimal periodic trajectory satisfying all the constraints.