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【目的】水库调度是目前水资源综合利用的重要非工程措施。近年来，随着水文预报技术水平的提升，结合水文预报开展水库优化调度日渐受到关注。然而水库滚动预报优化调度下防洪和发电效益影响机制尚不明晰。【方法】针对此问题，研究建立了水库滚动预报优化调度模型，采用控制变量法分析了不同的洪水量级、预见期和汛期水位动态控制上限对水库防洪和发电效益的影响，以峡江水库为对象开展实例研究。【结果】结果表明：(1)水库洪水削峰率随汛期水位动态控制上限增加呈现逐渐减小的趋势；(2)水库发电量随着汛期水位动态控制上限的增高而增大，同时最大下泄流量也在增加；(3)洪水量级越大，水库调度达到最大削峰效果所需预见期逐渐减少；(4)考虑预报不确定性和确定性来水条件下的防洪滚动预报优化调度结果差别较小。【结论】综上所述，在水库防洪滚动预报优化调度模式下，洪水量级、预见期和汛期水位动态控制上限对水库防洪和发电效益影响存在规律，结合可靠的预报信息，提高水库汛限水位在风险可控的前提下能够提高发电效益。以50 a一遇洪水为例，当预见期为72 h时，汛期水位动态控制上限为43.5 m与46 m条件相比，平均削峰率仅仅提高0.46%(约104 m3/s),但平均发电量减少30.55%(约1 555.57万kWh)。
Abstract：[Objective]Reservoir scheduling is an important non engineering measure for the comprehensive utilization of water resources at present. In recent years, with the improvement of hydrological forecasting technology, the reservoir optimal operation combined with hydrological forecasting has received increasing attention. However, the impact mechanism of flood control and power generation benefits under the reservoir rolling forecasting optimized operation is still unclear.[Methods]In response to this issue, a rolling forecast optimization scheduling model for reservoir flood control was established, and the control variable method was used to analyze the impact of different flood levels, forecast periods, and dynamic control upper limits of flood season water levels on reservoir flood control and power generation benefits taking Xiajiang Reservoir as a case.[Results]The results show that:(1) The peak shaving rate of floods gradually decreases with the increase of the upper limit of dynamic control of water level during flood season.(2) The power generation of the reservoir increases with the increase of the upper limit of the dynamic control of water level during the flood season, and the maximum discharge flow also increases.(3) The larger the magnitude of the flood, the shorter the forecast period required for reservoir operation to achieve maximum peak shaving effect.(4) The difference in the optimization scheduling result of flood control rolling forecasting under uncertain and deterministic inflow conditions is relatively small.[Conclusion]In summary, under the reservoir rolling forecasting optimized operation, there are patterns in the impact of flood magnitude, forecast period, and dynamic control upper limit of flood season water level on flood control and power generation. Combined with reliable forecast information, raising the flood season water level limit of the reservoir can improve power generation efficiency under the premise of controllable risk. Taking a 50-year design flood and the forecast period is 72 hours as an example, compared with the upper limit of dynamic control of water level during flood season being 46 m, when the upper limit is set at 43.5 m, the average peak shaving rate only increases by 0.46%(about 104 m3/s), but the average power generation decreases by 30.55%(about 15.56 million kWh).
[1] 何中政，辛秀钰，魏博文，等.基于 SPADE 算法的梯级水库群联合防洪优化调度[J].南水北调与水利科技(中英文),2024,22(4):651-660.HE Z Z,XIN Y X,WEI B W,et al.Optimal operation of joint flood control for cascade reservoirs based on SPADE algorithm[J].South-to-North Water Transfers and Water Science & Technology,2024,22(4):651-660.
[2] 王本德，周惠成，卢迪.我国水库 (群) 调度理论方法研究应用现状与展望[J].水利学报，2016,47(3):337-345.WANG B D,ZHOU H C,LU D.The state-of-the-art review in the theory research and its application of multi-reservoir system operation in China [J].Journal of Water Resources,2016,47(3):337-345.
[3] 李雨.水库防洪和蓄水优化调度方法及应用[D].武汉：武汉大学，2014.LI Y.Optimal Schedule Methods of Reservoir Flood Control and Refill Operation[D].Wuhan:Wuhan University,2014.
[4] SU C,YUAN W,CHENG C,et al.Short-term generation scheduling of cascade hydropower plants with strong hydraulic coupling and head-dependent prohibited operating zones[J].Journal of Hydrology,2020,591:125556.
[5] PERI?ARO G A,KARAS E W,GONZAGA C C,et al.Optimal non-anticipative scenarios for nonlinear hydro-thermal power systems[J].Applied Mathematics and Computation,2020,387:124820.
[6] 代金汕，葛恒军，阚永庚，等.泵站单机组优化调度组合改进粒子群算法[J].南水北调与水利科技(中英文),2024,22(5):978-986.DAI J S,GE H J,KAN Y G,et al.Combination improved particle swarm optimization algorithm for single unit optimal scheduling of pumping station[J].South-to-North Water Transfers and Water Science & Technology,2024,22(5):978-986.
[7] ZENG X,HU T,CAI X,et al.Improved dynamic programming for parallel reservoir system operation optimization[J].Advances in Water Resources,2019,131:103373.
[8] 许凌杰，董增川，肖敬，等.基于改进遗传算法的水库群防洪优化调度[J].水电能源科学，2018,36(3):59-62.XU L J,DONG Z C,XIAO J,et al.Optimal operation of flood control for reservoir group based on improved genetic algorithm [J].Hydropower Energy Science,2018,36(3):59-62.
[9] WINDSOR J S.Optimization model for the operation of flood control systems[J].Water Resources Research,1973,9(5):1219-1226.
[10] 沈豪，曹大岭，万洪涛，等.基于一二维耦合模型和水库调度的长江宜宾河段洪水遭遇与淹没分析[J].水利水电技术(中英文),2023,54(4):1-21.SHEN Hao,CAO Daling,WAN Hongtao,et al.1-D and 2-D coupling model and reservoir regulation-based analysis on flood encounter and inundation of Yibin Reach of Yangtze River[J].Water Resources and Hydropower Engineering,2023,54(4):1-21.
[11] LITTLE J D C.The use of storage water in a hydroelectric system[J].Journal of the Operations Research Society of America,1955,3(2):187-197.
[12] CHEN J,QI X,QIU G,et al.Improved progressive optimality algorithm and its application to determination of optimal release trajectory of long-term power generation operation of cascade reservoirs[J].Advances in Water Resources,2022,166:104253.
[13] CHEN L,HOU B,ZHAN T,et al.Water-sediment-energy joint operation model of large-scale reservoir group for sediment-laden rivers[J].Journal of Cleaner Production,2022,370:133271.
[14] 周建中，李纯龙，陈芳，等.面向航运和发电的三峡梯级汛期综合运用[J].水利学报，2017,48(1):31-40.ZHOU J Z,LI C L,CHEN F,et al.Integrated utilization of the Three Gorges terraces for navigation and power generation during flood season[J].Journal of Water Resources,2017,48(1):31-40.
[15] GUO S,CHEN J,LI Y,et al.Joint operation of the multi-reservoir system of the Three Gorges and the Qingjiang Cascade Reservoirs[J].Energies,2011,4(7):1036-1050.
[16] REDDY M J,KUMAR D N.Optimal reservoir operation using multi-objective evolutionary algorithm[J].Water Resources Management,2006,20:861-878.
[17] CHANG L C,CHANG F J.Multi-objective evolutionary algorithm for operating parallel reservoir system[J].Hydrology,2009,377:12-20.
[18] ZHA G,ZHOU J,YANG X,FANG W,et al.Modeling and solving of joint flood control operation of large-scale reservoirs:A case study in the middle and upper Yangtze River in China[J].Water,2021,13(1):41.
[19] MENG X,CHANG J,WANG X,et al.Flood control operation coupled with risk assessment for cascade reservoirs[J].Journal of Hydrology,2019,572:543-555.
[20] ZHANG X,LIU P,XU C Y,et al.Real-time reservoir flood control operation for cascade reservoirs using a two-stage flood risk analysis method[J].Journal of Hydrology,2019,577:123954.
[21] LI J,ZHONG P,YANG M,et al.Dynamic and intelligent modeling methods for joint operation of a flood control system[J].Journal of Water Resources Planning and Management,2019,145(10):04019044.
[22] LU Q,ZHONG P,XU B,et al.Risk analysis for reservoir flood control operation considering two-dimensional uncertainties based on Bayesian network[J].Journal of Hydrology,2020,589:125353.
[23] CUEVAS-VELASQUZE V,SORDO-WARD A,GARCIA-PALACIOS J H,et al.Probabilistic model for real-time flood operation of a dam based on a deterministic optimization model[J].Water,2020,12(11):3206.
[24] TRIVEDI M,SHRIVASTAVA R.Derivation and performance evaluation of optimal operating policies for a reservoir using a novel PSO with elitism and variational parameters[J].Urban Water Journal,2020,17(9):774-784.
[25] EHTERAM M,BBINTI O F,MUNDHER YASEEN Z,et al.Improving the Muskingum flood routing method using a hybrid of particle swarm optimization and bat algorithm[J].Water,2018,10(6):807.
[26] 赵铜铁钢.考虑水文预报不确定性的水库优化调度研究[D].北京：清华大学，2014.ZHAO T G T.Study on Reservoir Operation based on Hydrological Forecast:Uncertainty Analysis and Optimization [D].Beijing:Tsinghua University,2014.
[27] CHEN J,ZHONG P,LIU W,et al.A multi-objective risk management model for real-time flood control optimal operation of a parallel reservoir system[J].Journal of Hydrology,2020,590:125264.
[28] 包红军，张恒德，许凤雯，等.国家级水文气象预报业务技术进展与挑战[J].气象，2021,47(6):671-684.BAO H G,ZHAO H D,XU F W,et al.Progress and challenge of national level operational technology for hydrometeorological forecasting[J].Meteorological Monthly,2021,47(6):671-684.
[29] 周建中，何中政，贾本军，等.水电站长中短期嵌套预报调度耦合实时来水系统动力学建模方法研究及应用[J].水利学报，2020,51(6):642-652.ZHOU J Z,HE Z Z,JIA B J,et al.Research and application of system dynamic modeling method for long-term,medium-term and short-term nested forecasting and dispatching coupled real time inflow of hydropower station [J].Journal of Water Resources,2020,51(6):642-652.
[30] 纪昌明，刘源，王弋，等.耦合整体预报不确定性的水电站短期优化调度模型[J].水利学报，2021,52(8):907-916.JI C M,LIU Y,WANG Y,et al.A short-term optimal dispatch model for hydropower plants with coupled overall forecast uncertainty[J].Journal of Water Resources,2021,52(8):907-916.
[31] 钟华昱，黄强，明波，等.耦合集合预报信息的水库高效调度方法研究[J].水力发电学报，2021,40(5):44-55.ZHONG H Y,HUANG Q,MING B,et al.An efficient method for deriving reservoir operating rules by coupling ensemble forecasting information [J].Journal of Hydroelectricity,2021,40(5):44-55.
[32] 宋君辉，王立刚，李慧莉，等.云峰水库防洪预报调度研究[J].水电能源科学，2019,37(5):35-37.SONG J H,WANG L G,LI H L,et al.Study on flood forecast operation of Yunfeng Reservoir [J].Hydropower Energy Science,2019,37(5):35-37.
[33] WAN W,LEI X,ZHAO J,et al.A forecast-skill-based dynamic pre-storm level control for reservoir flood-control operation[J].Water,2021,13(4):556.
[34] 张明.下坂地水库监测预警与防洪调度方案分析[J].水利发展研究，2024,24(8):38-43.ZHANG Ming.Analysis of monitoring,early warning and flood control dispatching strategies for Xiabandi Reservoir[J].Water Resources Development Research,2024,24(8):38-43.
[35] 秦旭宝，董增川，费如君等.基于逐步优化算法的水库防洪优化调度模型研究[J].水电能源科学，2008,26(4):60-62.QIN X B,DONG Z C,FEI R J,et al.Research for optimal flood dispatch model for reservoir based on POA [J].Hydropower and Energy Section,2008,26(4):60-62.
[36] 杨会刚.基于逐步优化算法的梯级电站优化调度研究[J].四川水力发电，2020,39(3):75-79.YANG H G.Study on optimal scheduling of cascade hydropower stations based on progressive optimization algorithm [J].Sichuan Hydropower,2020,39(3):75-79.
[37] 水利部水利信息中心.水文情报预报规范：GB/T 22482—2008 [S].北京：中国标准出版社，2008.Hydrological Information Center of Ministry of Water Resources.Hydrological Information Forecasting Specifications:GB/T 22482—2008 [S].Beijing:Standards Press of China,2008.
基本信息:
DOI：10.13928/j.cnki.wrahe.2025.08.014
中图分类号:TV697.13
引用信息:
[1]黎良辉,曹志明,万迪文,等.滚动预报优化调度模式下水库防洪和发电效益分析[J].水利水电技术(中英文),2025,56(08):192-203.DOI:10.13928/j.cnki.wrahe.2025.08.014.
基金信息:
国家自然科学基金项目(52209024,42271044); 江西省人才团队计划-赣鄱俊才支持计划-主要学科学术和技术带头人培养项目(20243BCE51170); 水利部重大科技项目(SKS-2022117)
2025-01-14
2025-01-14
2025-01-14