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| Titel |
Improving multi-objective reservoir operation optimization with sensitivity-informed dimension reduction |
| VerfasserIn |
J. Chu, C. Zhang, G. Fu, Y. Li, H. Zhou |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 19, no. 8 ; Nr. 19, no. 8 (2015-08-12), S.3557-3570 |
| Datensatznummer |
250120789
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| Publikation (Nr.) |
 copernicus.org/hess-19-3557-2015.pdf |
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| Zusammenfassung |
| This study investigates the effectiveness of a sensitivity-informed method
for multi-objective operation of reservoir systems, which uses global
sensitivity analysis as a screening tool to reduce computational
demands. Sobol's method is used to screen insensitive decision
variables and guide the formulation of the optimization problems with a
significantly reduced number of decision variables. This
sensitivity-informed method dramatically reduces the computational demands
required for attaining high-quality approximations of optimal trade-off
relationships between conflicting design objectives. The search results
obtained from the reduced complexity multi-objective reservoir operation
problems are then used to pre-condition the full search of the original
optimization problem. In two case studies, the Dahuofang reservoir and the
inter-basin multi-reservoir system in Liaoning province, China, sensitivity
analysis results show that reservoir performance is strongly controlled by a
small proportion of decision variables. Sensitivity-informed dimension
reduction and pre-conditioning are evaluated in their ability to improve the
efficiency and effectiveness of multi-objective evolutionary optimization.
Overall, this study illustrates the efficiency and effectiveness of the
sensitivity-informed method and the use of global sensitivity analysis to
inform dimension reduction of optimization problems when solving complex
multi-objective reservoir operation problems. |
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