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Oh Oh (1967)
An application of the discrete maximum principle to the most economical power‐system operationJEE J. Electron. Eng., 87
E. Dahlin, D. Shen (1966)
Optimal Solution to the Hydro-Steam Dispatch Problem for Certain Practical SystemsIEEE Transactions on Power Apparatus and Systems, 85
Martin Martin, Merlin Merlin (1970)
Methode combinatoire de répartition à court terme d'un ensemble de moyens de production thermique et hydrauliqueRGE Rev. Gen. Electr., 79
A. Turgeon (1981)
Optimal short-term hydro scheduling from the principle of progressive optimalityWater Resources Research, 17
A. Bonaert, A. El-Abiad, A. Koivo (1972)
Optimal Scheduling of Hydro-Thermal Power SystemsIEEE Transactions on Power Apparatus and Systems, 91
Scano Scano (1967)
Gestion économique à court terme des usines hydroé1ectriques d'une val1éeRGE Rev. Gen. Electr., 76
S. Agarwal, I. Nagrath (1972)
Optimal scheduling of hydrothermal systems, 119
B. Bernholtz, L. Graham (1963)
Hydrothermal Economic SchedulingIEEE Transactions on Power Apparatus and Systems, 82
Narita Narita (1965)
The application of the maximum principle to the most economical operation of power systemsJEE J. Electron Eng., 85
S. Soares, C. Lyra, H. Tavares (1980)
Optimal Generation Scheduling of Hydrothermal Power SystemsIEEE Transactions on Power Apparatus and Systems, PAS-99
I. Hano, Y. Tamura, S. Narita (1966)
An Application of the Maximum Principle to the Most Economical Operation of Power SystemsIEEE Transactions on Power Apparatus and Systems
Nicolaos Arvanitidits, J. Rosing (1970)
Composite Representation of a Multireservoir Hydroelectric Power SystemIEEE Transactions on Power Apparatus and Systems, 2
M. Ramamoorty, J. Rao (1970)
Load scheduling of hydroelectric/thermal generating systems using nonlinear programming techniques, 117
B. Bernholtz, L. Graham (1960)
Hydrothermal Economic Scheduling Part 1. Solution by Incremental Dynamic ProgramingTransactions of the American Institute of Electrical Engineers. Part III: Power Apparatus and Systems, 79
This paper presents a method for determining the weekly operating policy of a power system of n reservoirs in series; the method takes into account the stochasticity of the river flows. The method consists of rewriting the stochastic nonlinear optimization problem of n state variables as n −1 problems of two state variables which are solved by dynamic programing. The release policy obtained with this method for reservoir i is a function of the water content of that reservoir and of the total amount of potential energy stored in the downstream reservoirs. The method is applied to a power system of four reservoirs, and the results obtained are compared to the true optimum.
Water Resources Research – Wiley
Published: Dec 1, 1981
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