基于贝叶斯概率预报的水库汛限水位实时动态控制研究
Real-Time Dynamic Control of Reservoir Flood Limited Water Level Based on the Bayesian Probabilistic Forecasting Processor

作者: 李 响 , 张洪刚 :长江水利委员会水文局; 郭生练 , 刘德地 :武汉大学水资源与水电工程科学国家重点实验室;

关键词: 汛限水位实时动态控制贝叶斯概率预报三峡水库Flood Limited Water Level Real-Time Dynamic Control Bayesian Probabilistic Forecast Three Gorges Reservoir

摘要: 实时洪水预报精度较高是实施汛限水位动态控制的基础,其不确定性又是动态控制的主要风险源。针对洪水预报不确定,采用贝叶斯水文不确定性处理器将确定性预报转化为概率预报;针对入库洪水预报精度较高,建立了考虑未来洪水大小的三峡水库汛限水位实时控制模型。应用结果表明,相对于原设计调度方案,实时动态模型根据预报洪水大小执行不同的预蓄预泄策略,在不增加防洪风险的前提下可显著地提高水库的发电效益。基于贝叶斯修正的概率预报能够为决策者提供更多的洪水预报信息,有利于调度人员实施汛限水位实时动态控制运用方式。

Abstract: A real-time dynamic control of reservoir Flood Limited Water Level (FLWL) model was proposed based on the Bayesian forecasting processor. In terms of relative high inflow forecast precisions of the Three Gorges Reservoir (TGR), the different pre-release and refill strategies were implemented according to the reservoir inflow forecasting results. On account of inflow uncertainty, the deterministic inflow forecasts were transformed to probabilistic forecasts. Case study results indicate that the proposed model can greatly increase hydropower generation compared with current operation rules. It is also shown that the proposed model could make use of the future inflow magnitudes and provide more information for decision-makers, which could be in favor real-time and dynamic control of reservoir FLWL.

文章引用: 李 响 , 郭生练 , 张洪刚 , 刘德地 (2012) 基于贝叶斯概率预报的水库汛限水位实时动态控制研究。 水资源研究, 1, 37-44. doi: 10.12677/JWRR.2012.13006

参考文献

[1] 周惠成, 王本德. 水库汛限水位动态方法研究[M]. 辽宁: 大连理工大学版社, 2006. ZHOU Hui-cheng, WANG Ben-de. Research on dynamic control of reservoir normal elevation in flood season. Liaoning: Dalian University of Technology Press, 2006. (in Chinese)

[2] 郭生练, 李响, 刘心愿, 等. 三峡水库汛限水位动态控制关键技术研究[M]. 北京: 中国水利水电出版社, 2011. GUO Sheng-lian, LI Xiang, LIU Xin-yuan, et al. Key technological problems of dynamic control of flood limited water level for Three Gorges Reservoir. Beijing: Chinese Water Resources and Hydropower Press, 2011. (in Chinese)

[3] 郭生练, 刘攀. 建立水库汛限水位动态控制推进机制的建议[J]. 中国水利, 2008, 9: 1-3. GUO Sheng-lian, LIU Pan. Suggestion of promoting dynamic control mechanism of water level of reservoir in flood season. China Water Resources, 2008, 9: 1-3. (in Chinese)

[4] YUN, R., SINGH, V. P. Multiple duration limited water level and dynamic limited water level for flood control, with implication on water supply. Journal of Hydrology, 2008, 354: 160-170.

[5] 李玮, 郭生练, 刘攀, 等. 梯级水库汛限水位动态控制模型研究及运用[J]. 水力发电学报, 2008, 27(2): 22-28. LI Wei, GUO Sheng-lian, LIU Pan, et al. Dynamic control model for limiting level during flood season of cascade reservoirs operation. Journal of Hydroelectric Engineering, 2008, 27(2): 22-28. (in Chinese)

[6] 刘攀, 郭生练, 王才君, 等. 水库汛限水位实时动态控制模型研究[J]. 水力发电, 2005, 31(1): 8-11. LIU Pan, GUO Sheng-lian, WANG Cai-jun, et al. Real-time dynamic control model for reservoir flood limit water level operation. Water Power, 2005, 31(1): 8-11. (in Chinese)

[7] 张改红, 周惠成, 王本德, 等. 水库汛限水位实时动态控制研究及风险分析[J]. 水力发电学报, 2009, 29(1): 51-55. ZHANG Gai-hong, ZHOU Hui-cheng, WANG Ben-de, et al. Real-time dynamic control of the limited water level of reservoir in flood period and its risk analysis. Journal of Hydroelectric Engineering, 2009, 29(1): 51-55. (in Chinese)

[8] BEVEN, K., BINLEY, A. Future of distributed models: Model calibration and uncertainty prediction. Hydrological Processes, 1992, 6(3): 279-298.

[9] 梁忠民, 戴荣, 李彬权. 基于贝叶斯理论的水文不确定性分析研究进展[J]. 水科学进展, 2010, 21(2): 274-281. LIANG Zhong-min, DAI Rong and LI Bin-quan. A review of hydrological uncertainty analysis based on Bayesian theory. Advances in Water Science, 2010, 21(2): 274-281. (in Chinese)

[10] 刘艳丽, 王国利, 周惠成. 洪水预报不确定性分析及其在水库调度决策中的应用研究[J]. 水力发电学报, 2010, 29(1): 92-96. LIU Yan-li, WANG Guo-li and ZHOU Hui-cheng. Uncertainty analysis of flood forecasting and its application to reservoir op-eration. Journal of Hydroelectric Engineering, 2010, 29(1): 92- 96. (in Chinese)

[11] MEDIERO, L., GARROTE, L. and MARTÍN-CARRASCO, F. A probabilistic model to support reservoir operation decisions during flash floods. Hydrological Science Journal, 2007, 52(3): 523-537.

[12] KRZYSZTOFOWICZ, R., KELLY, K. S. Hydrologic uncer- tainty processor for probabilistic river stage forecasting. Water Resources Research, 2000, 36(11): 3265-3277.

[13] 李向阳, 程春田, 林剑艺. 基于BP 神经网络的贝叶斯概率水文预报模型[J]. 水利学报, 2006, 37(3): 354-359. LI Xiang-yang, CHENG Chun-tian and LIN Jian-yi. Bayesian probabilistic forecasting model based on BP ANN. Journal of Hydraulic Engineering, 2006, 37(3): 354-359. (in Chinese)

[14] 邢贞相, 芮孝芳, 崔海燕, 等. 基于AM-MCMC算法的贝叶斯概率洪水预报模型[J]. 水利学报, 2007, 38(12): 1500-1506. XING Zheng-xiang, RUI Xiao-fang, CUI Hai-yan, et al. Bayesian probabilistic flood forecasting model based on adaptive metropo-lis-MCMC algorithm. Journal of Hydraulic Engineering, 2007, 38(12): 1500-1506. (in Chinese)

[15] 李响, 郭生练, 刘攀, 万民, 刘心愿. 考虑入库洪水不确定性的三峡水库汛限水位动态控制域研究[J]. 四川大学学报(工程科学版), 2010, 42(3): 49-55. LI Xiang, GUO Sheng-lian, LIU Pan, WAN Min and LIU Xinyuan. The dynamic control bound of flood limited water level considering inflow uncertainty in Three Gorges Reservoir. Journal of Sichuan University (Engineering Science Edition), 2010, 42(3): 49-55. (in Chinese)

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