Model predictive control of water networks considering flow

Abstract

Water transport networks (WTNs) are generally used to convey water from production plants or sources to storage tanks close to the consumptions areas. Tanks are usually built with enough elevation to guarantee the service pressure required for their associated consumption area. WTNs contain large water mains and control elements, such as pumping stations and valves, linking the sources to consumption areas. Their operational control involves planning the control actions at pumping stations and valves ahead in time for periods of 24 to 48 h, according to demand prediction. Then, the control problem is a resource allocation problem, with costs associated with water acquisition and treatment (production) and with electricity costs of pumping operations. Model predictive control (MPC) techniques are very suitable to perform the real-time operational control of water transport networks, as they can compute, ahead of time, the best admissible control strategies for valves, pumps or other control elements in a network to meet demands and achieve an operational goal. Typical goals in the management of water transport networks are minimum energy consumption, cost minimization, service safety, smoothness of control actions, pressure regulation and others. This chapter will show the fundamentals of control-oriented modelling in water transport networks and it will be shown with real case studies that MPC can provide an efficient solution to predictive water resource allocation, which outperforms traditional operational management, improving the above-mentioned operational goals.