Abstract
The capacity expansion of a mixed hydrothermal power system is analyzed by means of dynamic programing to compare alternative sequences of power development and by means of a fast running, approximate simulation model to evaluate the operation of possible power system states in the dynamic programing model. Because the simulation of all states in the dynamic programing model is too time consuming, only selected states are simulated, and these states are identified by using an iterative solution procedure. The resulting ‘dynamic programing‐simulation strategy’ is applied to the preliminary planning of the expansion of a mixed hydrothermal power system in Brazil. The solution procedure is computationally efficient and leads to a substantial reduction in the estimated cost of a future sequence of power development.
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