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RiverWare软件在水库兴利调度研究中的应用
引用本文:王新,王超,马芳平,孙嘉辉,苑瑞芳,雷晓辉,王浩.RiverWare软件在水库兴利调度研究中的应用[J].排灌机械工程学报,2022,40(1):35-42.
作者姓名:王新  王超  马芳平  孙嘉辉  苑瑞芳  雷晓辉  王浩
作者单位:1. 江苏大学国家水泵及系统工程技术研究中心, 江苏 镇江 212013; 2. 中国水利水电科学研究院流域水循环模拟与调控国家重点实验室, 北京 100038; 3. 国能大渡河流域水电开发有限公司, 四川 成都 610041; 4. 山东大学土建与水利学院, 山东 济南 250061; 5. 中国地质大学水资源与环境学院, 北京 100083
基金项目:国家重点研发计划项目(2019YFC0408903,2018YFC0407405);国家自然科学基金资助项目(51709275);青年人才托举工程项目(2019QNRC001);中央公益性科研院所基本科研业务费项目(CKSF2019212/SZ);中国水利水电科学研究院基本科研业务费专项(WR0145B012020)。
摘    要:针对水库预报调度中因预报径流不确定性导致的发电风险问题,提出了一种考虑来水预报信息的调度规则.以三峡水库为研究对象,运用RiverWare软件构建了基于该调度规则的RiverWare模型,为验证所提规则的有效性,将实际(完美预报)来水作为输入,对比规则调度结果与优化调度结果;进一步,为探究预报不确定性所带来的发电效益风险,基于预报偏差系数及蒙特·卡罗方法,拟定多组预报偏差系数开展规则调度,并和完美预报下规则调度结果对比分析.结论表明:与优化相比,规则调度的发电量损失较小且可以有效地满足水库平稳下泄的要求;丰、平、枯3种典型来水情景下预报偏差系数分别在0.05,0.20,0.05内时,与完美预报下发电量基本一致,相对偏差均可控制在0.2%.文中提出的调度规则可在一定程度上减小因预报径流不确定性导致的发电差异,研究成果可为水库实际生产运行中的预报调度提供参考.

关 键 词:三峡水库  预报调度  偏差系数  调度规则  RiverWare  
收稿时间:2020-12-10

Application of RiverWare software in research reservior benefit operation
WANG Xin,WANG Chao,MA Fangping,SUN Jiahui,YUAN Ruifang,LEI Xiaohui,WANG Hao.Application of RiverWare software in research reservior benefit operation[J].Journal of Drainage and Irrigation Machinery Engineering,2022,40(1):35-42.
Authors:WANG Xin  WANG Chao  MA Fangping  SUN Jiahui  YUAN Ruifang  LEI Xiaohui  WANG Hao
Institution:(National Research Center of Pumps, Jiangsu University, Zhenjiang,Jiangsu 212013, China;State Key Laboratory Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China;Guoneng Dadu River Basin Hydropower Development Co. Ltd., Chengdu, Sichuan 610041,China;School of Civil Engineering, Shandong University, Jinan,Shandong 250061, China;School of Water Resources and Environment,China University of Geo-sciences, Beijing 100038, China)
Abstract:Aiming at the power generation risk problem caused by the uncertainty of predicted runoff in reservoir forecast operation,a dispatch rule considering the inflow forecast information was proposed.Taking the Three Gorges Reservoir as the research object,a RiverWare model based on the operation rule was constructed by using RiverWare software.In order to verify the effectiveness of the proposed rules,the actual(perfect forecast)inflow was taken as the input,and the regular operation results were compared with the optimized operation results.In addition,to explore the power generation benefit risk caused by the forecast uncertainty,based on the forecast deviation coefficient and the Monte Carlo method,multiple groups of forecast deviation coefficients were drawn to carry out regular rule dispatching,and the results of the rule dispatch under the perfect forecast were compared and analyzed.The result show that compared with the optimization,the generation loss of regular operation was small,and it can effectively meet the requirements of stable discharge of the reservoir.When the forecast deviation coefficients under the three typical inflow scenarios are within 0.05,0.20,and 0.05 respectively,it was basically consistent with the power generation under the perfect forecast,and the relative deviation can be controlled within 0.2%.The regulation rules proposed in this paper can reduce the difference in power generation caused by the uncertainty of forecast runoff to a certain extent.The research results can provide references for forecast dispatch rule in the actual production and operation of the reservoirs.
Keywords:Three Gorges Reservoir  forecast scheduling  deviation coefficient  dispatch rule  RiverWare
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