Dynamic programming (DP) is applied in order to determine the optimal
management policy for a water reservoir by modeling the physical probl
em via a linear quadratic (LQ) structure. A simplified solution to the
LQ tracking problem ir provided under mild assumptions. The model pre
sents an aggregated multicriteria decision making problem where flood
control, hydroelectric power, and water demand have to be satisfied Si
multaneously the energy production ir to be maximized the mismatch of
water demand minimized and the water release should not cause flooding
. The system constraints are basically the conservation of mass within
the reservoir system, and the minimum and the maximum allowable limit
s for the water release and the reservoir level. The stochastic variab
les consist of the water inflow from the reservoir drainage basin, pre
cipitation and evaporation. The Tenkiller Ferry dam on the Illinois Ri
ver basin in Oklahoma is analyzed as a case study. (C) 1997 by Elsevie
r Science Inc.