English   español  
Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/132943
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:

Combining CSP and MPC for the operational control of water networks

AutorSun, Congcong; Puig, Vicenç; Cembrano, Gabriela
Palabras claveCSP
Water networks
Fecha de publicación2016
CitaciónEngineering Applications of Artificial Intelligence 49: 126-140 (2016)
ResumenThis paper presents a control scheme which uses a combination of linear Model Predictive Control (MPC) and a Constraint Satisfaction Problem (CSP) to solve the non-linear operational optimal control of Drinking Water Networks (DWNs). The methodology has been divided into two functional layers: first, a CSP algorithm is used to transfer non-linear DWNs pressure equations into linear constraints on flows and tank volumes, which can enclose the feasible solution set of the hydraulic non-linear problem during the optimization process. Then, a linear MPC with tightened constraints produced in the CSP layer is solved to generate control strategies which optimize the control objectives. The proposed approach is simulated using Epanet to represent the real DWNs. Non-linear MPC is used for validation. To illustrate the performance of the proposed approach, a case study based on the Richmond water network is used and a realistic example, D-Town benchmark network, is added as a supplementary case study.
Versión del editorhttp://dx.doi.org/10.1016/j.engappai.2015.12.006
Identificadoresdoi: 10.1016/j.engappai.2015.12.006
issn: 0952-1976
Aparece en las colecciones: (IRII) Artículos
Ficheros en este ítem:
Fichero Descripción Tamaño Formato  
water-networks.pdf5 MBAdobe PDFVista previa
Mostrar el registro completo

Artículos relacionados:

NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.