Efficient Parallelization of the Stochastic Dual Dynamic Programming Algorithm Applied to Hydropower Scheduling

Efficient Parallelization of the Stochastic Dual Dynamic Programming Algorithm Applied to Hydropower Scheduling

Stochastic dual dynamic programming (SDDP) has become a popular algorithm used in practical long-term scheduling of hydropower systems. The SDDP algorithm is computationally demanding, but can be designed to take advantage of parallel processing. This paper presents a novel parallel scheme for the S...

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Bibliographic Details
Main Authors: Arild Helseth, Hallvard Braaten
Format: Article
Language:English
Published: MDPI AG 2015-12-01
Series:Energies
Subjects:
hydropower scheduling
stochastic programming
dynamic programming
parallel processing
Online Access:http://www.mdpi.com/1996-1073/8/12/12431

Internet

http://www.mdpi.com/1996-1073/8/12/12431

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