Conference Proceedings

Control of Rivers with Flood Avoidance

HA Nasir, A Care, E WEYER

Engineers Australia | Published : 2016


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..

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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.