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In this paper, a methodology for the optimal management
of a combined irrigation and water supply system
based on model predictive control (MPC) is proposed. A controloriented
modelling methodology for this type of systems is
presented as well. MPC is used to generate flow control strategies
from the sources to the consumer and irrigation areas to meet
future demands with appropriate flows, optimizing operational
goals such as network safety volumes in dams and flow control
stability in actuators (valves, gates and pumps). The case study
of Guadiana river is used to exemplify and verify the proposed
optimal management methodology. Results have shown the effectiveness
of the proposed modelling and control methodologies.
CitationPuig, V. [et al.]. Model predictive control of combined irrigation and water supply systems: application to the Guadiana river. A: IEEE International Conference on Networking, Sensing and Control. "IEEE International Conference on Networking, Sensing and Control". Beijing: 2012, p. 85-90.
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