This paper presents a model predictive control strategy to assure reliability in drinking water networks given a customer service level and a forecasting demand. The underlying idea concerns a two-layer hierarchical control structure. The upper layer performs a local steady-state optimization to set up an inventory replenishment policy based on dynamic safety stocks for each tank in the network. At the same stage, actuators health is revised to set up their next maximum allowable degradation in order to efficiently distribute overall control effort and guarantee system availability. In the lower layer, a model predictive control algorithm is implemented to compute optimal control set-points to minimize a multiobjective cost function. Simulation results in the Barcelona drinking water network have shown the effectiveness of the dynamic safety stocks allocation and the actuators health monitoring to assure service reliability and optimizing network operational costs. ; Peer Reviewed ; Postprint (author’s final draft)


    Zugriff

    Download


    Exportieren, teilen und zitieren




    Reliability-based economic model predictive control for generalized flow-based networks including actuators' health-aware capabilities

    Grosso Pérez, Juan Manuel / Ocampo-Martínez, Carlos / Puig Cayuela, Vicenç | BASE | 2016

    Freier Zugriff

    Reliable fault-tolerant model predictive control of drinking water transport networks

    Robles Guillem, Deneb / Puig Cayuela, Vicenç / Ocampo-Martínez, Carlos et al. | BASE | 2016

    Freier Zugriff

    Adaptive multilevel neuro-fuzzy model predictive control for drinking water networks

    Grosso, J. M. / Ocampo-Martinez, Carlos / Puig, Vicenç | BASE | 2012

    Freier Zugriff

    Learning-based tuning of supervisory model predictive control for drinking water networks

    Grosso Pérez, Juan Manuel / Ocampo-Martínez, Carlos / Puig Cayuela, Vicenç | BASE | 2013

    Freier Zugriff