Journal article
Economic Model Predictive Control with Nonlinear Constraint Relaxation for the Operational Management of Water Distribution Networks
Ye Wang, Teodoro Alamo, Vicenc Puig, Gabriela Cembrano
ENERGIES | MDPI | Published : 2018
DOI: 10.3390/en11040991
Open access
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 uni..
View full abstractGrants
Awarded by European Regional Development Fund (ERFD) through the project DEOCS
Awarded by Maria de Maeztu Seal of Excellence
Awarded by FPI
Funding Acknowledgements
This work was partially funded by the Spanish State Research Agency (AEI) and the European Regional Development Fund (ERFD) through the project DEOCS (ref. DPI2016-76493), the Maria de Maeztu Seal of Excellence to IRI (ref. MDM-2016-0656) and the FPI grant (ref. BES-2014-068319).