Deriving Operating Rules of Pumped Water Storage Using Multiobjective Optimization: Case Study of the Han to Wei Interbasin Water Transfer Project, China
Publication: Journal of Water Resources Planning and Management
Volume 143, Issue 10
Abstract
Pumped water storage (PWS) is an advanced component of interbasin water transfer (IBWT) projects that plays a critical role in addressing streamflow variability. However, improper operating rules result in a large amount of unnecessary pumping and spills, wasting water resources and energy. Here, multiobjective optimization (MO) was applied to develop effective operating rules for PWS with the objectives of minimizing the water shortage index and maximizing the net revenues of consumed and produced energy. A metaheuristic algorithm named cuckoo search was used to optimize the decision variables in the framework of parameterization–simulation–optimization. Additionally, the water diversion performance of PWS and parallel reservoirs (without pumped storage) were compared. The Han to Wei IBWT project in northwest China was selected for a case study. The results indicate that (1) the proposed MO model and adopted methods are effective for derivation of PWS operating rules, improving water use benefits and decreasing operational costs significantly; (2) the two optimization goals established in the MO model conflict (increasing water supply reliability will decrease the net revenue of energy); and (3) when the water diversion target is relatively small, parallel reservoirs outperform PWS; however, PWS is superior to parallel reservoirs when the water diversion target increases.
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Acknowledgments
This study was supported by the Excellent Young Scientist Foundation of NSFC (51422907), the National Natural Science Foundation of China (51579180), the National Key Research and Development Program (2016YFC0400907), and the National Department Public Benefit Research Foundation of Ministry of Water Resources (201501058). Sincere gratitude is extended to the editor and three anonymous reviewers for their professional comments and corrections, which greatly improved the presentation of the paper.
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©2017 American Society of Civil Engineers.
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Received: Nov 7, 2016
Accepted: Apr 20, 2017
Published online: Aug 10, 2017
Published in print: Oct 1, 2017
Discussion open until: Jan 10, 2018
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