Multiobjective Reservoir Optimization Via Lake Stratification Modeling and Constrained Nonlinear Programming

摘要

This paper presents an approach whereby the natural process of stratification may be used to control the operation of a reservoir such that water quality (both within and released from the reservoir) is maximized while constraints are met on other beneficial uses (e.g., flood control, pumped storage hydroelectric generation, recreation, etc.). The idea is to use any existing lake stratification model to provide a state vector Psi of the reservoir's depth dependent water quality at time t. An objective function is formulated using water quality index for the reservoir (WQI)/sub R/ and its discharge (WQI)/sub D/. A constrained nonlinear optimization problem is formulated which uses Psi(t) and expected values of inflow during interval delta t to maximize (WQI)/sub R/ and (WQI)/sub D/ at time t + delta t, under the time dependent constraints operating during delta t. The stratification model then gives Psi(t + delta t), assuming the optimal discharge is performed, with the procedure thus continuing for the next delta t. (ERA citation 06:019233)