DocumentCode :
3305655
Title :
A {0, 1} linear program for fixed-profile load scheduling and demand management in automated irrigation channels
Author :
Alende, Julien ; Li, Yuping ; Cantoni, Michael
Author_Institution :
Rubicon Syst. Australia Ltd. Pty., VIC, Australia
fYear :
2009
fDate :
15-18 Dec. 2009
Firstpage :
597
Lastpage :
602
Abstract :
A {0,1} linear program is proposed for scheduling fixed-profile requests to load a dynamical system. The problem involves organizing requested load across time, without modifying the load profile of individual requests, while satisfying constraints on the transient response of the system to change in the load. A time representation of the load is developed and delivery delays, being the differences between requested and scheduled start times, are introduced as the decision variables. Given a linear discrete-time state-space model of the dynamical system and an objective of minimizing a measure of overall delivery delay, the problem is initially formulated as a mixed-integer non-linear program. This is then shown to be equivalent to a more tractable {0,1} linear program. The main ideas are motivated by and applied to the problem of scheduling water off-takes from an automated irrigation channel.
Keywords :
demand side management; discrete time systems; dynamic scheduling; integer programming; irrigation; linear programming; linear systems; nonlinear programming; state-space methods; time-varying systems; transient response; automated irrigation channels; delivery delays; demand management; dynamical system; fixed-profile load scheduling; linear discrete-time state-space model; mixed-integer nonlinear program; transient response; water scheduling problem; {0,1} linear program; Automatic control; Bandwidth; Constraint optimization; Delay effects; Dynamic scheduling; Irrigation; Organizing; Predictive models; Robust stability; Transient response; Fixed-profile load scheduling; automated irrigation channels; {0,1} linear programming;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
Conference_Location :
Shanghai
ISSN :
0191-2216
Print_ISBN :
978-1-4244-3871-6
Electronic_ISBN :
0191-2216
Type :
conf
DOI :
10.1109/CDC.2009.5400193
Filename :
5400193
Link To Document :
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