21 March 2001 Dynamic optimization for optimal control of water distribution systems
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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.
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Emre Ertin, Emre Ertin, Anthony N. Dean, Anthony N. Dean, Matthew L. Moore, Matthew L. Moore, Kevin L. Priddy, 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); doi: 10.1117/12.421163; https://doi.org/10.1117/12.421163

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