Paper
21 March 2001 Dynamic optimization for optimal control of water distribution systems
Emre Ertin, Anthony N. Dean, Matthew L. Moore, Kevin L. Priddy
Author Affiliations +
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.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Emre Ertin, Anthony N. Dean, Matthew L. Moore, and Kevin L. Priddy "Dynamic optimization for optimal control of water distribution systems", Proc. SPIE 4390, Applications and Science of Computational Intelligence IV, (21 March 2001); https://doi.org/10.1117/12.421163
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CITATIONS
Cited by 17 scholarly publications.
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KEYWORDS
Computer programming

Monte Carlo methods

Control systems

Device simulation

Optimization (mathematics)

Systems modeling

Control systems design

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