Optimal Operation of Complex Flood Control System Composed of Cascade Reservoirs, Navigation-Power Junctions, and Flood Storage Areas

被引:8
作者
Zhu, Di [1 ]
Mei, Yadong [1 ]
Xu, Xinfa [2 ]
Chen, Junhong [1 ]
Ben, Yue [1 ]
机构
[1] Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Peoples R China
[2] Jiangxi Prov Inst Water Sci, Nanchang 330029, Jiangxi, Peoples R China
基金
美国国家科学基金会;
关键词
optimal flood control operation; DP-POA; the middle and lower reaches of the Ganjiang River; complex flood control system; GENETIC ALGORITHM; WATER LEVELS; OPTIMIZATION; MODEL; RISK;
D O I
10.3390/w12071883
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
As more and more water projects are built on rivers, the flood control operation becomes more complex. Studies on the optimal flood control operation are very important to safeguard human life and property. This study focused on optimizing the operation of a complex flood control system composed of cascade reservoirs, navigation-power junctions, flood storage areas, and flood control points. An optimal model was established to jointly maximize flood peak reduction rates of downstream flood control points. A hybrid algorithm named the Dynamic Programming-Progressive Optimality Algorithm (DP-POA) was used to solve this model, and the middle and lower reaches of the Ganjiang River were selected as a case study. The results show that flood reduction at three downstream flood control points ranged from 1080 to 5359 m(3)/s for designed floods with different return periods, which increased by about 333 similar to 1498 m(3)/s in comparison with the conventional operation. Considering that the maximum water level of reservoirs using DP-POA and the conventional operation is the same, this indicated that DP-POA can make full use of the reservoirs' flood control storage to reduce downstream flood peaks. In addition, the flood diversion volume of the flood storage area using DP-POA ranged from 0.33 x 10(8)to 1.79 x 10(8)m(3)for designed floods with 200-year, 300-year, and 500-year return periods, which is smaller than that using the conventional operation.
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页数:21
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共 46 条
  • [2] Synergistic gains from the multi-objective optimal operation of cascade reservoirs in the Upper Yellow River basin
    Bai, Tao
    Chang, Jian-xia
    Chang, Fi-John
    Huang, Qiang
    Wang, Yi-min
    Chen, Guang-sheng
    [J]. JOURNAL OF HYDROLOGY, 2015, 523 : 758 - 767
  • [3] Optimization of large-scale hydropower system operations
    Barros, MTL
    Tsai, FTC
    Yang, SL
    Lopes, JEG
    Yeh, WWG
    [J]. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 2003, 129 (03) : 178 - 188
  • [4] Application of the gravity search algorithm to multi-reservoir operation optimization
    Bozorg-Haddad, Omid
    Janbaz, Mahdieh
    Loaiciga, Hugo A.
    [J]. ADVANCES IN WATER RESOURCES, 2016, 98 : 173 - 185
  • [5] Real-Coded Genetic Algorithm for Rule-Based Flood Control Reservoir Management
    Chang, Fi-John
    Chen, Li
    [J]. WATER RESOURCES MANAGEMENT, 1998, 12 (03) : 185 - 198
  • [6] Optimization of Water Resources Utilization by PSO-GA
    Chang, Jian-xia
    Bai, Tao
    Huang, Qiang
    Yang, Da-wen
    [J]. WATER RESOURCES MANAGEMENT, 2013, 27 (10) : 3525 - 3540
  • [7] An Improved NSGA-III Algorithm for Reservoir Flood Control Operation
    Chen, Chen
    Yuan, Yanbin
    Yuan, Xiaohui
    [J]. WATER RESOURCES MANAGEMENT, 2017, 31 (14) : 4469 - 4483
  • [8] Parallel discrete differential dynamic programming for multireservoir operation
    Cheng, Chuntian
    Wang, Sen
    Chau, Kwok-Wing
    Wu, Xinyu
    [J]. ENVIRONMENTAL MODELLING & SOFTWARE, 2014, 57 : 152 - 164
  • [9] OPTIMAL OPERATION OF MULTIPLE-RESERVOIR SYSTEM
    CRAWLEY, PD
    DANDY, GC
    [J]. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT-ASCE, 1993, 119 (01): : 1 - 17
  • [10] Flood-risk analysis based on a stochastic differential equation method
    Dai, Ling
    Zhou, Jianzhong
    Chen, Lu
    Huang, Kangdi
    Wang, Quansen
    Zha, Gang
    [J]. JOURNAL OF FLOOD RISK MANAGEMENT, 2019, 12