Water Resources Systems Planning: Differential Dynamic Programming Modelsby LaDon Jones, Humboldt State Univ, Arcata, CA, USA,
Robert Willis, Humboldt State Univ, Arcata, CA, USA,
Brad A. Finney, Humboldt State Univ, Arcata, CA, USA,
Abstract: A Monte Carlo optimization methodology is presented for water resources systems. The planning model define the optimal storage and release policies for the reservoir system. The optimization models are solved using constrained differential dynamic programming. The repetitive optimization of the water resources system in conjunction with streamflow generating models will determine the statistical properties and the culmulative distribution functions for the reservoir releases and storages. The methodology is applied to the Mad River basin in northern California.
Subject Headings: Water resources | Dynamic models | Hydrologic models | Computer programming | Optimization models | Reservoirs | Water storage | Monte Carlo method | North America | California | Europe | United States | Monaco | Monte Carlo
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