Abstract
The Becker and Yeh monthly operation model, which maximizes the energy output of a reservoir system, has been extended to allow for maximization of both water and energy from the system. The model is a combination of parametric linear programming (used for month-by-month optimization) and dynamic programming (used for optimization over the 1-yr. operation period). The resulting operating policy is updated as new monthly inflow forecasts become available, thus incorporating the stochasticity of inflows. An iterative procedure is used to reduce the computation time and computer storage requirements. This efficiency allows the use of minicomputers which are less expensive than mainframe computers. The use of the model is illustrated for the Shasta reservoir (California Central Valley Project).
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