Stochastic Optimization of the Highland Lakes System in Texas
by David Raymond Kracman, M.S.E. and Daene C. McKinney
ABSTRACT
A multistage stochastic optimization model using linear programming
was
developed to assist the Lower Colorado River Authority (LCRA) in
the operation
of the Highland Lakes system. Three primary objectives were maximized:
(1)
revenues from rice production, (2) recreation benefits from lake
use, and (3)
hydropower revenues. Secondary objectives included minimization
of unmet
municipal and irrigation water demands, rewarding final storage
to reduce end-ofhorizon
effects, and other minor linearization and equity goals. The model
provides a realistic representation of the Colorado River system,
and should be
useful in managing water deliveries to downstream irrigation districts,
predicting
future reservoir levels, and enhancing other planning capabilities.
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