Referenced Items are not available for this document.
The paper addresses the stochastic long-term hydrothermal scheduling problem. This problem is usually modeled as a multistage stochastic program and solved using algorithms that are based on dynamic programming. One such algorithm is the stochastic dual dynamic programming (SDDP) algorithm, which is implemented for the hydrothermal power system of the Pacific Northwest in the U.S. The importance of the first period is emphasized. It is shown that the impact of the first period diminishes after four periods. This result can be exploited to make the stochastic dual dynamic programming (SDDP) algorithm converge very fast.
Published in:
Electro/Information Technology, 2008. EIT 2008. IEEE International Conference on
Date of Conference: 18-20 May 2008
- Page(s):
- 66 - 71
- E-ISBN :
- 978-1-4244-2030-8
- Print ISBN:
- 978-1-4244-2029-2
- INSPEC Accession Number:
- 10072067
- Conference Location :
- Ames, IA
- Digital Object Identifier :
- 10.1109/EIT.2008.4554269
- Product Type:
- Conference Publications
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