Reservoir Operation: Choice of Objective Functions

Abstract

An efficient algorithm for the real‐time monthly operation of a multipurpose reservoir is presented. The model is a combination of linear programming (used for month‐by‐month optimization) and dynamic programming (used for annual optimization). The use of parametric linear programming, minimum required beginning‐of‐month storages, and an iterative solution procedure result in low computer time and computer storage requirements. Low computer storage requirements allow the model to be run on minicomputers. Water and energy maximization, water and energy maximization with flood control considerations, and water and energy maximization for peak demand months are considered. Thus, the model provides the reservoir operator with different choices for annual optimization. The model is applied to Folsom reservoir of the California Central Valley Project and the results are discussed.