Reference:
P.J. van Overloop,
R.R. Negenborn,
B. De Schutter, and
N.C. van de Giesen,
"Predictive control for national water flow optimization in The
Netherlands," Chapter 17 in Intelligent Infrastructures (R.R.
Negenborn, Z. Lukszo, and H. Hellendoorn, eds.), vol. 42 of
Intelligent Systems, Control and Automation: Science and
Engineering, Dordrecht, The Netherlands: Springer, ISBN
978-90-481-3598-1, pp. 439-461, 2010.
Abstract:
The river delta in The Netherlands consists of interconnected rivers
and large water bodies. Structures, such as large sluices and pumps,
are available to control the local water levels and flows. The
national water board is responsible for the management of the system.
Its main management objectives are: protection against overtopping of
dikes due to high river flows and high sea tides, supply of water
during dry periods, and navigation. The system is, due to its size,
divided into several subsystems that are managed by separate regional
divisions of the national water board. Due to changes in local
land-use, local climate, and the need for energy savings, the
currently existing control systems have to be upgraded from local
manual control schemes to regional model predictive control (MPC)
schemes. In principle, the national objectives for the total delta
require a centralized control approach integrating all regional MPC
schemes. However, such centralized control is on the one hand not
feasible, due to computational limitations, and on the other hand
unwanted, due to the existing regional structure of the organization
of the national water board. In this chapter the application of MPC is
discussed for both individual regional control and coordinated
national control. Results of a local MPC scheme applied to the actual
water system of the North Sea Canal/Amsterdam-Rhine Canal are
presented and a framework for coordination between several distributed
MPC schemes is proposed.