Minimizing Pumping Energy Cost in Real-Time Operations of Water Distribution Systems Using Economic Model Predictive Control

Optimizing pump operations is a challenging task for real-time management of water distribution systems (WDS). With suitable scheduling, pumping costs can be significantly reduced. In this research, novel economic model predictive control (EMPC) framework WDS proposed. Optimal are selected based on predicted system behavior over receding time horizon with the aim to minimize total energy cost. Time-varying electricity tariffs considered while all required demands satisfied. The novelty choose number pumps operate in each station as decision variables order optimize costs. By using integer programming, proposed EMPC applied benchmark case study, Richmond Pruned network. simulation an EPANET hydraulic simulator implemented. Moreover, comparison results obtained those trigger-level demonstrates significant benefits EMPC.