A decomposition method for the long‐term scheduling of reservoirs in series
- 1 December 1981
- journal article
- Published by American Geophysical Union (AGU) in Water Resources Research
- Vol. 17 (6) , 1565-1570
- https://doi.org/10.1029/wr017i006p01565
Abstract
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.Keywords
This publication has 8 references indexed in Scilit:
- Optimal short‐term hydro scheduling from the principle of progressive optimalityWater Resources Research, 1981
- Optimal Generation Scheduling of Hydrothermal Power SystemsIEEE Transactions on Power Apparatus and Systems, 1980
- Optimal scheduling of hydrothermal systemsProceedings of the Institution of Electrical Engineers, 1972
- Optimal Scheduling of Hydro-Thermal Power SystemsIEEE Transactions on Power Apparatus and Systems, 1972
- Composite Representation of a Multireservoir Hydroelectric Power SystemIEEE Transactions on Power Apparatus and Systems, 1970
- Optimal Solution to the Hydro-Steam Dispatch Problem for Certain Practical SystemsIEEE Transactions on Power Apparatus and Systems, 1966
- An Application of the Maximum Principle to the Most Economical Operation of Power SystemsIEEE Transactions on Power Apparatus and Systems, 1966
- Hydrothermal Economic Scheduling Part 1. Solution by Incremental Dynamic ProgramingTransactions of the American Institute of Electrical Engineers. Part III: Power Apparatus and Systems, 1960