Articles | Volume 19, issue 8
https://doi.org/10.5194/hess-19-3557-2015
https://doi.org/10.5194/hess-19-3557-2015
Research article
 | 
12 Aug 2015
Research article |  | 12 Aug 2015

Improving multi-objective reservoir operation optimization with sensitivity-informed dimension reduction

J. Chu, C. Zhang, G. Fu, Y. Li, and H. Zhou

Viewed

Total article views: 3,115 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,445 1,568 102 3,115 94 100
  • HTML: 1,445
  • PDF: 1,568
  • XML: 102
  • Total: 3,115
  • BibTeX: 94
  • EndNote: 100
Views and downloads (calculated since 08 Apr 2015)
Cumulative views and downloads (calculated since 08 Apr 2015)

Cited

Saved (preprint)

Latest update: 13 Apr 2024
Download
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.