Study on reservoir operation optimization of Ertan Hydropower Station considering GFS forecasted precipitation

被引：9

作者：

PENG Yong 1

2 Ertan Hydropower Development Co.

机构：

来源：

Science China Technological Sciences | 2011年 / S1期

基金：

中国国家自然科学基金;

关键词：

global forecasting system; runoff forecasting; runoff description; uncertainty; optimal operation;

D O I：

暂无

中图分类号：

TV124 []; TV697.11 [];

学科分类号：

081501 ; 081504 ;

摘要：

The medium-term runoff forecasting provided new information for forecast of medium and long term runoff and optimal hydroelectric power generation.According to the actual runoff and hydropower generating characteristics of Ertan Hydropower Station,we studied the decade runoff quantitatively and grade forecast model based on Global Forecasting System(GFS) precipitation forecast information in wet season,then used the posteriori runoff transition probability and measurable probability of runoff forecast to research the uncertain runoff description based on runoff forecast;finally on the basis of the runoff description and the grading forecast accuracy of GFS-based next 10 days’total forecast precipitation,we studied the uncertain optimal operating model of Ertan Hydropower Station considering runoff forecast.The results showed that the runoff forecast considering GFS forecast precipitation and uncertainty has significantly improved the existing runoff description and operating optimization model,and obviously raised the hydropower generation efficiency of Ertan Reservoir.

引用

页码：76 / 82

页数：7

共 10 条

[1]

Inter-basin water transfer-supply model and risk analysis with consideration of rainfall forecast information[J]. XI ShuFeng1, WANG BenDe1, LIANG GuoHua1, LI XueSen2 & LOU LiLi3 1 School of Civil and Hydraulic Engineering, Dalian University of Technology, Dalian 116024, China;2 Management Bureau of Tanghe Reservoir, Liaoyang 111000, China;3 Institute of Dalian Water Science, Dalian 116013, China.Science China(Technological Sciences). 2010(12)

[2]

Risk analysis of flood control operation mode with forecast information based on a combination of risk sources[J]. DIAO YanFang & WANG BenDe School of Faculty of Infrastructure Engineering, Dalian University of Technology, Dalian 116024, China.Science China(Technological Sciences). 2010(07)

[3] GFS可利用性研究及其在旬径流预报中的应用 [J].

梁国华 ;

王国利 ;

王本德 ;

董霞 .

水电能源科学, 2009, 27 (01) :10-13+43

[4] 二滩水电站水库径流描述与优化调度模型研究 [J].

周惠成 ;

王峰 ;

唐国磊 ;

王雅军 ;

蹇德平 .

水力发电学报, 2009, 28 (01) :18-23+40

[5] 基于短期降雨预报信息的水库汛期库水位实时动态控制方法研究 [J].

袁晶瑄 ;

王本德 ;

王福兴 ;

李福威 .

水力发电学报, 2008, (04) :15-19

[6] 应用中央气象台24h降雨预报的可行性分析 [J].

王本德 ;

朱永英 ;

张改红 ;

周惠成 .

水文, 2005, (03) :30-34

[7] 水库汛期限制水位控制理论与观念的更新探讨 [J].

邱瑞田 ;

王本德 ;

周惠成 .

水科学进展, 2004, (01) :68-72

[8] 梯级水电站洪水优化调度模型 [J].

管家宝 ;

虞锦江 .

水电能源科学, 1987, (01) :59-68

[9] A bayesian stochastic optimization model for a multi-reservoir hydropower system [J].

Mujumdar, P. P. ;

Nirmala, B. .

WATER RESOURCES MANAGEMENT, 2007, 21 (09) :1465-1485

[10]

Value of Seasonal Flow Forecasts in Bayesian Stochastic Programming[J] . Young-Oh Kim,Richard N. Palmer.Journal of Water Resources Planning and Management . 1997 (6)

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