Title :
Development of a stochastic optimization for multireservoir scheduling
Author :
Halliburton, T. ; Sirisena, H.R.
Author_Institution :
University of Canterbury, Christchurch, England
fDate :
1/1/1984 12:00:00 AM
Abstract :
Seasonal reservoir scheduling for multireservoir hydrothermal power systems is a practical, nonlinear, stochastic problem of high dimension. Extension of an existing deterministic algorithm to handle stochastic aspects is desirable. A linear feedback rule, but with chance constraints on lower limits only, gives some promising results. Exact solution by stochastic dynamic programming is possible only for a one-reservoir model. This result is compared to the deterministic and linear feedback solutions.
Keywords :
Hydroelectric-thermal power generation; Stochastic optimal control, nonlinear systems; Adaptive control; Control systems; Dynamic programming; Equations; Feedback; Power system modeling; Reservoirs; Stochastic processes; Water resources; Water storage;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.1984.1103369