Articles | Volume 19, issue 8
https://doi.org/10.5194/hess-19-3557-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-19-3557-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
12 Aug 2015
Research article |
| 12 Aug 2015
Improving multi-objective reservoir operation optimization with sensitivity-informed dimension reduction
J. Chu
School of Hydraulic Engineering, Dalian University of Technology, Dalian 116024, China
C. Zhang
CORRESPONDING AUTHOR
School of Hydraulic Engineering, Dalian University of Technology, Dalian 116024, China
G. Fu
Centre for Water Systems, College of Engineering, Mathematics and Physical Sciences, University of Exeter, North Park Road, Harrison Building, Exeter EX4 4QF, UK
Y. Li
School of Hydraulic Engineering, Dalian University of Technology, Dalian 116024, China
H. Zhou
School of Hydraulic Engineering, Dalian University of Technology, Dalian 116024, China
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Latest update: 23 Nov 2024
Short summary
This study investigates the effectiveness of a sensitivity-informed method for multi-objective operation of reservoir systems, which uses a global sensitivity analysis method to screen out insensitive decision variables and thus forms simplified problems with a significantly reduced number of decision variables. We find that it is important to consider variable interactions when formulating simplified problems, and problem decomposition dramatically improves search efficiency and effectiveness.
This study investigates the effectiveness of a sensitivity-informed method for multi-objective...
