dc.creator | Wang, Ye | es |
dc.creator | Alamo, Teodoro | es |
dc.creator | Puig, Vicenç | es |
dc.creator | Cembrano, Gabriela | es |
dc.date.accessioned | 2018-06-04T14:48:44Z | |
dc.date.available | 2018-06-04T14:48:44Z | |
dc.date.issued | 2018-04-19 | |
dc.identifier.citation | Wang, Y., Álamo, T., Puig, V. y Cembrano, G. (2018). Economic Model Predictive Control with Nonlinear Constraint Relaxation for the Operational Management of Water Distribution Networks. Energies, 11 (4), 1-20. | |
dc.identifier.issn | 1996-1073 | es |
dc.identifier.uri | https://hdl.handle.net/11441/75620 | |
dc.description.abstract | This paper presents the application of an economic model predictive control (MPC) for
the operational management of water distribution networks (WDNs) with periodic operation and
nonlinear constraint relaxation. In addition to minimizing operational costs, the proposed approach
aims to reduce the computational load and to improve the implementation efficiency associated
with the nonlinear nature of the MPC problem. The behavior of the WDN is characterized by a
set of difference-algebraic equations, where the relation of hydraulic pressure/head and flow in
interconnected pipes is nonlinear. Specifically, the considered WDN model includes two categories of
nonlinear algebraic equations for unidirectional and bidirectional flows in pipes, respectively. In this
paper, we propose an iterative algorithm to relax these nonlinear algebraic equations into a set of linear
inequality constraints that will be implemented in the economic MPC design, which improves the
implementation efficiency and meanwhile optimizes the economic performance. Finally, the proposed
strategy is applied to a well-known benchmark of the Richmond WDN. The closed-loop simulation
results are shown and the proposed strategy is also compared with a nonlinear economic MPC using
several key performance indexes. | es |
dc.description.sponsorship | Agencia Estatal de Investigación DPI2016-76493 | es |
dc.description.sponsorship | Fondo de Desarrollo Regional DPI2016-76493 | es |
dc.description.sponsorship | Sello María de Maeztu MDM-2016-0656 | es |
dc.description.sponsorship | Subvención de FPI BES-2014-068319 | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | MDPI | es |
dc.relation.ispartof | Energies, 11 (4), 1-20. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Economic model predictive control | es |
dc.subject | Nonlinear constraint relaxation | es |
dc.subject | Periodic operation | es |
dc.subject | Difference-algebraic equations | es |
dc.subject | Water distribution networks | es |
dc.title | Economic Model Predictive Control with Nonlinear Constraint Relaxation for the Operational Management of Water Distribution Networks | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática | es |
dc.relation.projectID | DPI2016-76493 | es |
dc.relation.projectID | MDM-2016-0656 | es |
dc.relation.projectID | BES-2014-068319 | es |
dc.relation.publisherversion | https://doi.org/10.3390/en11040991 | es |
dc.identifier.doi | 10.3390/en11040991 | es |
idus.format.extent | 20 p. | es |
dc.journaltitle | Energies | es |
dc.publication.volumen | 11 | es |
dc.publication.issue | 4 | es |
dc.publication.initialPage | 1 | es |
dc.publication.endPage | 20 | es |