Improving multi-objective reservoir operation optimization with sensitivity-informed problem decomposition
Hydrology and Earth System Sciences
European Geosciences Union (EGU) / Copernicus Publications
© Author(s) 2015. This work is distributed under the Creative Commons Attribution 3.0 License.
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 con- flicting 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.
This study was supported by the China Postdoctoral Science Foundation grants (2014M561231), and National Natural Science Foundation of China grants (51320105010, 51279021, and 51409043).
This is the final version of the article. Available from European Geosciences Union via the DOI in this record.
Vol. 19 (8), pp. 3557-2015