Derivation of Aggregation-Based Joint Operating Rule Curves for Cascade Hydropower Reservoirs |
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Authors: | Pan Liu Shenglian Guo Xiaowei Xu Jionghong Chen |
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Affiliation: | (1) The United Graduate School of Agricultural Sciences, Tottori University, Koyama-minami, Tottori 680-8553, Japan;(2) Faculty of Life and Environmental Science, Shimane University, Matsue, Shimane 690-8504, Japan;(3) Faculty of Life and Environmental Science, Tottori University, Koyama-minami, Tottori 680-8553, Japan |
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Abstract: | Operating rule curves have been widely applied to reservoir operation, due to their ease of implementation. However, these
curves are generally used for single reservoirs and have rarely been applied to cascade reservoirs. This study was conducted
to derive joint operating rule curves for cascade hydropower reservoirs. Steps in the proposed methodology include: (1) determining
the optimal release schedule using dynamic programming to solve a deterministic long-term operation model, (2) identifying
the forms of operating rule curves suitable for cascade hydropower reservoirs based on the optimal release schedule, (3) constructing
a simulation-based optimization model and then using the non-dominated sorting genetic algorithm-II (NSGA-II) to identify
the key points of the operating rule curves, (4) testing and verifying the efficiency of the generated joint operating rule
curves using synthetic inflow series. China’s Qing River cascade hydropower reservoirs (the Shuibuya, Geheyan and Gaobazhou
reservoirs) were selected for a case study. When compared with the conventional operating rule curves, the annual power generation
can be increased by 2.62% (from 7.27 to 7.46 billion kWh) using the observed inflow from 1951 to 2005, as well as by about
1.77% and 2.52% using the synthetic inflows generated from two alternative hydrologic simulation methods. Linear operating
rules were also implemented to simulate coordinated operation of the Qing River cascade hydropower reservoirs. The joint operating
rule curves were more efficient and reliable than conventional operating rule curves and linear operating rules, indicating
that the proposed method can greatly improve hydropower generation and work stability. |
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