Abstract
Implicit Stochastic Optimization is applied to derive monthly reservoir operating rules. The procedure generates synthetic inflow scenarios which are used by an optimization model to find optimal releases. The set of release data are related to storage and inflow in order to form allocation rules. In contrast to the common use of least squares multiple regression to define equations relating releases to the other variables, this papers uses numerical interpolation to calculate the release to be implemented at each period. The methodology is applied to a multipurpose reservoir in Japan and the results highly correlate with those using optimization under perfect forecast.
