A real-time and eco-layout platform for optimization of supply/costs for water distribution systems management

Abstract

This research discusses developing a coupled system with both structural and operational aspects of the water distribution system. Operating view is provided through a real-time control scheduler (RTC), which satisfactorily attends to solve the dynamic control problem at every timestep via minimization of energy costs over the day and satisfying hydraulic reliability constraints through suggesting near-optimal pump schedules. Moreover, the network layout provides the structural view with a focus on inventing the most prosperous cost-effective topology. The modeling process was exerted by group-based machine learning techniques, a dynamic random search (DDS) algorithm and ultimately, the model performance was evaluated. In addition to providing stable hydraulic conditions, evaluating the coupled optimization platform (RTC-eco-layout) formulation on a typical day was adequate to beget an average of up to 23% daily energy savings as well as preserving the hydraulic feasibility properties in the range of up to 30% energy cost economies. The sensitivity analysis admitted that both operating and environmental variables contribute to the total uncertainty.