A Review of Reservoir Operation Optimisations: from Traditional Models to Metaheuristic Algorithms-Reference-Cited by-同舟云学术

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A Review of Reservoir Operation Optimisations: from Traditional Models to Metaheuristic Algorithms

Published:2022-02-25 Issue:5 Volume:29 Page:3435-3457
ISSN:1134-3060
Container-title:Archives of Computational Methods in Engineering
language:en
Short-container-title:Arch Computat Methods Eng

Author:

Lai Vivien,Huang Yuk Feng,Koo Chai Hoon,Ahmed Ali Najah,El-Shafie Ahmed

Funder

Universiti Tunku Abdul Rahman Research Fund

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications

Link

https://link.springer.com/content/pdf/10.1007/s11831-021-09701-8.pdf

Reference141 articles.

1. Stoll B, Andrade J, Cohen S, Brinkman G, Brancucci Martinez-Anido C (2017) Hydropower modeling challenges. National Renewable Energy Lab.(NREL), Golden, CO (United States).

2. Liu X, Luo J (2019) A dynamic multi-objective optimization model with interactivity and uncertainty for real-time reservoir flood control operation. Appl Math Model. https://doi.org/10.1016/j.apm.2019.05.009

3. Feng ZK, Niu WJ, Cheng CT (2018) Optimizing electrical power production of hydropower system by uniform progressive optimality algorithm based on two-stage search mechanism and uniform design. J Clean Prod. https://doi.org/10.1016/j.jclepro.2018.04.134

4. Zeng Y, Wu X, Cheng C, Wang Y (2014) Chance-constrained optimal hedging rules for cascaded hydropower reservoirs. J Water Resour Plan Manag. https://doi.org/10.1061/(asce)wr.1943-5452.0000427

5. Li YP, Huang GH, Chen X (2009) Multistage scenario-based interval-stochastic programming for planning water resources allocation. Stoch Environ Res Risk Assess. https://doi.org/10.1007/s00477-008-0258-y

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