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A dynamic programing‐simulation strategy for the capacity expansion of hydroelectric power systems
Author(s) -
Kuiper John,
Ortolano Leonard
Publication year - 1973
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1029/wr009i006p01497
Subject(s) - hydroelectricity , dynamic programming , mathematical optimization , sequence (biology) , power (physics) , computer science , reduction (mathematics) , electric power system , dynamic simulation , generator (circuit theory) , algorithm , simulation , engineering , mathematics , physics , geometry , quantum mechanics , biology , electrical engineering , genetics
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.