Hydrothermal systems operation planning using a discretization of energy interchange between subsystems

Hydrothermal systems operation planning using a discretization of energy interchange between... •We present an alternative approach to solve hydrothermal systems operation planning.•This proposed methodology uses stochastic dynamic programming (SDP).•The variables that make up the state space to determine the expected cost-to-go functions (ECF) are the initial stored energy and the energy net interchange of subsystem.•The results showed the effectiveness of the proposed methodology when compared with other traditional techniques. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Electric Power Systems Research Elsevier

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Publisher
Elsevier
Copyright
Copyright © 2015 Elsevier B.V.
ISSN
0378-7796
eISSN
1873-2046
D.O.I.
10.1016/j.epsr.2015.11.007
Publisher site
See Article on Publisher Site

Abstract

•We present an alternative approach to solve hydrothermal systems operation planning.•This proposed methodology uses stochastic dynamic programming (SDP).•The variables that make up the state space to determine the expected cost-to-go functions (ECF) are the initial stored energy and the energy net interchange of subsystem.•The results showed the effectiveness of the proposed methodology when compared with other traditional techniques.

Journal

Electric Power Systems ResearchElsevier

Published: Mar 1, 2016

References

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