A Chance Constrained Optimization Model for reservoir design and operation

Abstract

A chance constrained linear programing model which employs multiple linear decision rules is developed. The model incorporates explicitly the stochastic nature of the streamflow process, can be used in design and/or management situations, does not significantly restrict the operating policy prior to solution, and is economically and computationally feasible. A portion of the Yakima River system is modeled to demonstrate the use of the multiple linear decision rules.