卢迪, 周如瑞, 周惠成, 彭勇. 耦合长期预报的跨流域引水受水水库调度模型[J]. 水科学进展, 2016, 27(3): 458-466. DOI: 10.14042/j.cnki.32.1309.2016.03.014
引用本文: 卢迪, 周如瑞, 周惠成, 彭勇. 耦合长期预报的跨流域引水受水水库调度模型[J]. 水科学进展, 2016, 27(3): 458-466. DOI: 10.14042/j.cnki.32.1309.2016.03.014
LU Di, ZHOU Rurui, ZHOU Huicheng, PENG Yong. Reservoir operation model coupling long-term forecast of intake reservoir in inter-basin water diversion[J]. Advances in Water Science, 2016, 27(3): 458-466. DOI: 10.14042/j.cnki.32.1309.2016.03.014
Citation: LU Di, ZHOU Rurui, ZHOU Huicheng, PENG Yong. Reservoir operation model coupling long-term forecast of intake reservoir in inter-basin water diversion[J]. Advances in Water Science, 2016, 27(3): 458-466. DOI: 10.14042/j.cnki.32.1309.2016.03.014

耦合长期预报的跨流域引水受水水库调度模型

Reservoir operation model coupling long-term forecast of intake reservoir in inter-basin water diversion

  • 摘要: 为提高跨流域引水工程受水水库引水有效性,研究了耦合长期径流预报信息的跨流域引水受水水库调度模型。首先选取汛期径流预报信息,采用径流预报概率修正先验概率来描述径流的不确定性,建立了贝叶斯随机动态规划模型(BSDP-LTF)。然后将模型应用于碧流河水库,并与仅考虑径流相关的随机动态规划模型(SDP-I)、仅考虑长期预报信息的随机动态规划模型(SDP-LTF)进行比较。比较结果得出在供水保证率基本一致且不增加调度风险的情况下,BSDP-LTF模型相比SDP-I、SDP-LTF模型,可分别减少引水8.2%、4.1%。表明贝叶斯随机动态规划模型BSDP-LTF有效改进了径流描述,提高了跨流域引水的有效性。

     

    Abstract: In order to improve the water diversion effectiveness of intake reservoir in inter-basin water diversion project, the intake reservoir operation model coupling long-term runoff forecast is studied. First, the information of runoff forecast in flood season is employed, and the prior probability is corrected by runoff forecast probability to describe the runoff uncertainty. The stochastic dynamic programming model (BSDP-LTF) is established. Then the model is compared with stochastic dynamic programming model considering inflow correlation only (SDP-I) and stochastic dynamic programming model considering long-term forecast only (SDP-LTF) in Biliuhe reservoir. Comparative results show that the water diversion is reduced by 8.2% and 4.1% for the BSDP-LTF model when compared with SDP-I and SDP-LTF in condition of basically the same water supply reliability and not increasing operation risk. The results indicate that the BSDP-LTF model improves the runoff description effectively, and increases the effectiveness of the inter-basin water diversion.

     

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