Economic MPC for the management of drinking water networks

This paper addresses the management of drinking water networks (DWNs) regarding a multi-objective cost function by means of economically-oriented model predictive control (EMPC) strategies. Specifically, assuming the water demand and the energy price as periodically time-varying signals, this paper...

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Detalles Bibliográficos
Autores: Grosso, Juan M., Ocampo-Martínez, Carlos, Puig, Vicenç, Limon, D, Pereira Martín, Mario
Tipo de recurso: artículo
Fecha de publicación:2014
País:España
Institución:Universidad Loyola Andalucía
Repositorio:Brújula
OAI Identifier:oai:repositorio.uloyola.es:20.500.12412/4818
Acceso en línea:https://hdl.handle.net/20.500.12412/4818
Access Level:acceso abierto
Palabra clave:Potable water
Water demand
Two-layer approach
Steady state
Periodically time-varying
Multi objective
Hierarchical control scheme
Energy prices
Drinking water networks
Predictive control systems
Model predictive control
Cost functions
Descripción
Sumario:This paper addresses the management of drinking water networks (DWNs) regarding a multi-objective cost function by means of economically-oriented model predictive control (EMPC) strategies. Specifically, assuming the water demand and the energy price as periodically time-varying signals, this paper shows that the EMPC framework is flexible to enhance the control of DWNs without relying on hierarchical control schemes that require the use of real-time optimisers (RTO) or steady-state target optimisers (SSTO) in an upper layer. Four different MPC strategies are discussed in this paper: a hierarchical two-layer approach, a standard EMPC where the multi-objective cost function is optimised directly, and two different modifications of the latter, which are meant to overcome possible feasibility losses in the presence of changing operating patterns. The discussed schemes are tested andcompared by means of a case study taken from a part of the Barcelona DWN