Conference Proceedings

Control of Rivers with Flood Avoidance

HA Nasir, A Care, E WEYER

Engineers Australia | Published : 2016

Abstract

River control and decision support system can help improving water resource management. Rivers often have two modes of operations: normal operations, which include maintaining water levels and flows at their reference points, and flood avoidance. This work formulates the river control problem as a Stochastic Model Predictive Control (S-MPC), where a Multiple Chance-Constrained optimisation Problem (M-CCP) is solved at every time step. The M-CCP accommodates the constraints related to normal river operations and flood avoidance as two probabilistic constraints. We use the soft probabilistic constraints, because a hard constraint on the water level that depends on uncertain forecasts of the un..

View full abstract

Grants

Awarded by ARC


Funding Acknowledgements

The first author gratefully acknowledges the financial support from National ICT Australia (NICTA).The contribution of the second author was carried out partly while he was a Research Fellow at the University of Melbourne, supported by an ARC Discovery Project grant (DP130104028), and partly during the tenure of an 'ERCIM Alain Bensoussan' Fellowship Programme.