Hydropower Scheduling with State-Dependent Discharge Constraints: An SDDP Approach-Reference-Cited by-同舟云学术

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Hydropower Scheduling with State-Dependent Discharge Constraints: An SDDP Approach

Published:2022-11 Issue:11 Volume:148 Page:
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Helseth Arild¹^ORCID,Mo Birger²,Hågenvik Hans Olaf³,Schäffer Linn E.⁴

Affiliation:

1. Senior Research Scientist, SINTEF Energy Research, Sem Sælands vei 11, 7465 Trondheim, Norway (corresponding author). ORCID: .

2. Chief Scientist, SINTEF Energy Research, Sem Sælands vei 11, 7465 Trondheim, Norway.

3. Research Scientist, SINTEF Energy Research, Sem Sælands vei 11, 7465 Trondheim, Norway.

4. Ph.D. student, Dept. of Electric Power Engineering, Norwegian Univ. of Science and Technology, 7491 Trondheim, Norway.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management, Monitoring, Policy and Law,Water Science and Technology,Geography, Planning and Development,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29WR.1943-5452.0001609

Reference44 articles.

1. Introduction to Stochastic Programming

2. Stochastic dual dynamic programming applied to nonconvex hydrothermal models

3. Wind-hydro firming with environmental constraints in New Zealand

4. Efficient Implementation of Sampling Stochastic Dynamic Programming Algorithm for Multireservoir Management in the Hydropower Sector

5. Comparison of Stochastic Optimization Algorithms for Hydropower Reservoir Operation with Ensemble Streamflow Prediction

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