期刊
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
卷 143, 期 10, 页码 -出版社
ASCE-AMER SOC CIVIL ENGINEERS
DOI: 10.1061/(ASCE)WR.1943-5452.0000828
关键词
Pumped water storage; Operating rules; Interbasin water transfer; Cuckoo search algorithm; Energy
资金
- Excellent Young Scientist Foundation of NSFC [51422907]
- National Natural Science Foundation of China [51579180]
- National Key Research and Development Program [2016YFC0400907]
- National Department Public Benefit Research Foundation of Ministry of Water Resources [201501058]
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 rales 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. (c) 2017 American Society of Civil Engineers.
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