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Proceedings Paper

Dynamic optimization for optimal control of water distribution systems
Author(s): Emre Ertin; Anthony N. Dean; Matthew L. Moore; Kevin L. Priddy
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Paper Abstract

In this paper we consider the design of intelligent control policies for water distribution systems. The controller presented in this paper is based upon a hybrid system that utilizes dynamic programming and rules as design constraints, to minimize average costs over a long time horizon under constraints on operation parameters. The method is very general and is reported here as a controller for water distribution system. In the example presented we obtain a 12.5 percent reduction in energy usage over the optimal level-based control design. We present the guiding principles used in the design and the results for a simulated system that is representative of a typical water pumping station. The design is fully adaptable to changing operating conditions and has applicability to a wide range of scheduling problems.

Paper Details

Date Published: 21 March 2001
PDF: 8 pages
Proc. SPIE 4390, Applications and Science of Computational Intelligence IV, (21 March 2001); doi: 10.1117/12.421163
Show Author Affiliations
Emre Ertin, Battelle Memorial Institute (United States)
Anthony N. Dean, Battelle Memorial Institute (United States)
Matthew L. Moore, Battelle Memorial Institute (United States)
Kevin L. Priddy, Battelle Memorial Institute (United States)

Published in SPIE Proceedings Vol. 4390:
Applications and Science of Computational Intelligence IV
Kevin L. Priddy; Paul E. Keller; Peter J. Angeline, Editor(s)

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