Authors:
Debora C. C. S. Alves
;
Eric Duviella
and
Arnaud Doniec
Affiliation:
Institut Mines Telecom Lille Douai, URIA, F-59000 Lille, France Univ. Lille and France
Keyword(s):
Water-resource Management, Planning, Quadratic Optimization, Predictive Optimization, Large Scale Systems, Water System.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Environmental Monitoring and Control
;
Formal Methods
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Optimization Algorithms
;
Planning and Scheduling
;
Signal Processing, Sensors, Systems Modeling and Control
;
Simulation and Modeling
;
Symbolic Systems
Abstract:
This paper presents a predictive optimization approach based on a quadratic minimization method to improve the water resource allocation planning of inland waterways. These networks are large scale systems composed of several interconnected reaches. Their management consists in keeping the water level of each reach close to an objective by allocating the available water resource among the network. It is particularly required in the context of global change where inland waterways should be strongly impacted by flood and drought events. The designed predictive optimization approach is achieved considering future horizons with the aim to reduce the impacts of extreme climate events thanks to anticipation of the management actions. A real part of the inland waterways in the north of France is considered in order to test the designed approach. The obtained management improvement comparing to water resource allocation planning methods that have been recently proposed in the literature is h
ighlighted. The influence of the size of the predictive horizon is discussed.
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