Stochastic Dynamic Programming for Optimal Reservoir Control

Sensitivity analyses were performed to examine typical stochastic programming (SP) modeling issues for a hypothetical single reservoir system. The elements considered in these analyses include the partitions of inflow and storage states, the hydrologic characteristics of inflows, the types of system performance functions, and the tradeoffs between conflicting objectives. Simulation studies were conducted to verify the modeling results and to provide insights for possible improvements of the system performance.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Environmental Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2014

Author dc:creator

• Lee, Han-Lin

• Engineering, Civil

Identifier

(UMI)AAI8803109

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/69971