Scenario‐Based Multiobjective Robust Optimization and Decision‐Making Framework for Optimal Operation of a Cascade Hydropower System Under Multiple Uncertainties-Reference-Cited by-同舟云学术

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Scenario‐Based Multiobjective Robust Optimization and Decision‐Making Framework for Optimal Operation of a Cascade Hydropower System Under Multiple Uncertainties

Published:2022-04 Issue:4 Volume:58 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resources Research

Author:

Xu Bin¹²³^ORCID,Sun Yu¹,Huang Xin¹,Zhong Ping‐an¹,Zhu Feilin¹,Zhang Jianyun²⁴,Wang Xiaojun²⁴^ORCID,Wang Guoqing²⁴,Ma Yufei¹,Lu Qingwen¹,Wang Han¹,Guo Le⁵

Affiliation:

1. College of Hydrology and Water Resources Hohai University Nanjing China

2. State Key Laboratory of Hydrology‐Water Resources and Hydraulic Engineering Nanjing Hydraulic Research Institute Nanjing China

3. CMA‐HHU Joint Laboratory for HydroMeteorological Studies Nanjing China

4. Research Center for Climate Change Ministry of Water Resources Nanjing China

5. China Yangtze Power Co., Ltd Yichang China

Funder

Qinglan Project of Jiangsu Province of China

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021WR030965

Reference54 articles.

1. Copula‐Based Chance‐Constrained Hydro‐Economic Optimization Model for Optimal Design of Reservoir‐Irrigation District Systems under Multiple Interdependent Sources of Uncertainty

2. On considering robustness in the search phase of Robust Decision Making: A comparison of Many-Objective Robust Decision Making, multi-scenario Many-Objective Robust Decision Making, and Many Objective Robust Optimization

3. Robust and Data-Driven Optimization: Modern Decision Making Under Uncertainty

4. Introduction to Stochastic Programming

5. Technical note: Stochastic simulation of streamflow time series using phase randomization

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