Journal
WATER RESOURCES RESEARCH
Volume 51, Issue 5, Pages 3353-3369Publisher
AMER GEOPHYSICAL UNION
DOI: 10.1002/2014WR015964
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Funding
- Special Fund for Public Welfare Industry of the Ministry of Water Resources of China [201501007]
- National Basic Research Program of China (973 Program) [2013CB036406]
- National Natural Science Foundation of China [51179044]
- Research Innovation Program for College Graduates in Jiangsu Province of China [CXZZ12-0242]
- Chinese Government
- AECOM endowment
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This paper examines the impact of short-term operation on long-term energy production. We propose a multiobjective optimization model for the short-term, daily operation of a system of cascade reservoirs. The two objectives considered in the daily model are: (1) minimizing the total amount of water released and (2) maximizing the stored energy in the system. Optimizing short-term operation without considering its impact on long-term energy production does not guarantee maximum energy production in the system. Therefore, a major goal of this paper is to identify desirable short-term operation strategies that, at the same time, optimize long-term energy production. First, we solve the daily model for 1 month (30 days) using a nondominated genetic algorithm (NSGAII). We then use the nondominated solutions obtained by NSGAII to assess the impact on long-term energy production using a monthly model. We use historical monthly inflows to characterize the inflow variability. We apply the proposed methodology to the Qingjiang cascade system of reservoirs in China. The results show: (1) in average hydrology scenarios, the solution maximizing stored energy produces the most overall long-term energy production; (2) in moderately wet hydrology scenarios, the solution minimizing water released outperforms the maximizing stored energy solution; and (3) when extremely wet hydrology scenarios are expected, a compromise solution is the best strategy.
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