Economic health-aware LPV-MPC based on system reliability assessment for water transport network
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hdl:2117/182040
Tipus de documentArticle
Data publicació2019-08-01
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Abstract
This paper proposes a health-aware control approach for drinking water transport networks. This approach is based on an economic model predictive control (MPC) that considers an additional goal with the aim of extending the components and system reliability. The components and system reliability are incorporated into the MPC model using a Linear Parameter Varying (LPV) modeling approach. The MPC controller uses additionally an economic objective function that determines the optimal filling/emptying sequence of the tanks considering that electricity price varies between day and night and that the demand also follows a 24-h repetitive pattern. The proposed LPV-MPC control approach allows considering the model nonlinearities by embedding them in the parameters. The values of these varying parameters are updated at each iteration taking into account the new values of the scheduling variables. In this way, the optimization problem associated with the MPC problem is solved by means of Quadratic Programming (QP) to avoid the use of nonlinear programming. This iterative approach reduces the computational load compared to the solution of a nonlinear optimization problem. A case study based on the Barcelona water transport network is used for assessing the proposed approach performance.
CitacióKarimi Pour, F.; Puig, V.; Cembrano, M. Economic health-aware LPV-MPC based on system reliability assessment for water transport network. "Energies", 1 Agost 2019, vol. 12, núm. 15, p. 1408-1415.
ISSN1996-1073
Versió de l'editorhttps://www.mdpi.com/1996-1073/12/15/3015
Col·leccions
- Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial - Articles de revista [1.397]
- Doctorat en Automàtica, Robòtica i Visió - Articles de revista [166]
- SAC - Sistemes Avançats de Control - Articles de revista [509]
- IRI - Institut de Robòtica i Informàtica Industrial, CSIC-UPC - Articles de revista [376]
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