Articles | Volume 19, issue 8
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


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (24 Jun 2015) by Dimitri Solomatine
AR by Chi Zhang on behalf of the Authors (25 Jun 2015)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (25 Jun 2015) by Dimitri Solomatine
RR by Anonymous Referee #1 (02 Jul 2015)
RR by Andreja Jonoski (13 Jul 2015)
ED: Publish subject to technical corrections (31 Jul 2015) by Dimitri Solomatine
AR by Chi Zhang on behalf of the Authors (04 Aug 2015)  Author's response    Manuscript
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.