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水力发电学报 ›› 2021, Vol. 40 ›› Issue (8): 12-22.doi: 10.11660/slfdxb.20210802

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考虑不同需水过程的三河口水库调度风险研究

  

  • 出版日期:2021-08-25 发布日期:2021-08-25

Study on risk analysis of Sanhekou Reservoir operation based on different water demand processes

  • Online:2021-08-25 Published:2021-08-25

摘要: 针对受水区需水过程的不确定性对水库实际调度运行带来的风险问题,开展水库供水调度风险研究。以引汉济渭工程三河口水库供水调度为例,建立年均缺水量最小调度模型并采用改进花粉算法求解;通过构建风险指标体系,采用四维坐标系分析不同方案的风险变化。结果表明,改进的花粉算法在求解长系列调度模型时具有较强的寻优能力和稳定性;径流丰枯遭遇分析获得的方案3需水过程对水库调度风险影响最大,其年时间尺度可靠性只有0.64,缺水指数为2.35,表示出现连续年缺水过程;不同的时间尺度显著影响了风险指标的大小,时间尺度越小,风险越大,对调度结果越不利。研究成果为水库供水调度风险研究提供新的思路,也为水库管理规划部门提供重要借鉴。

关键词: 水库调度, 花粉算法, 风险分析, 需水过程, 缺水指数, 引汉济渭工程

Abstract: Aimed at the risk problem in reservoir operation caused by uncertainty in water demand process, this study examines the risk of reservoir water supply operation. Based on the initial dispatch mode of the Sanhekou Reservoir, we develop a risk indicator system and a dispatch model for annual average water shortage minimization, and solve it using an improved flower pollination algorithm (IFPA). A four-dimensional coordinate system is constructed and used in analysis of the risks of different reservoir operation schemes. Results indicate IFPA has strong optimization ability and stability in solving the long-term scheduling model. And for water supply risk, the most unfavorable scheme is the water demand process scheme 3 based on the frequency of high-low water encountering, with annual reliability as low as 0.64 and a water shortage index of 2.35, showing a water shortage of several successive years. The values of risk indicators significantly depend on time scale, the smaller the time scale, the greater the risk, the more unfavorable to the scheduling results. The results demonstrate new ideas for accessing reservoir water supply operation risk, and also provide important reference for reservoir management and planning departments.

Key words: reservoir operation, flower pollination algorithm, risk analysis, water demand process, water shortage index, Hanjiang-to-Weihe River water diversion project

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