Joint optimal dispatch of Longjiang and Ruilijiang cascade hydropower stations based on improved NSGA-Ⅱ

被引：0
|
作者：
Li, Lingjie [1 ]
Wang, Yintang [1 ]
Ma, Jingmei [2 ]
Zhu, Rongjin [1 ]
Hu, Qingfang [1 ]
Liu, Yong [1 ]
机构：
[1] State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing,210029, China
[2] Xinyi Township Water Supply Co.,Ltd, Xuzhou,221000, China
来源：
Water Resources Protection | 2022年 / 38卷 / 02期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：83 / 90
相关论文
共 50 条
  • [21] Study on combined optimal operation of cascade hydropower stations based on accelerating genetic algorithm
    Wu, Chengguo
    Wang, Yimin
    Huang, Qiang
    Jin, Juliang
    Zhang, Yongyong
    Shuili Fadian Xuebao/Journal of Hydroelectric Engineering, 2011, 30 (06): : 171 - 177
  • [22] Ship pipe route design based on improved NSGA-Ⅱ
    Dong Z.
    Wang F.
    Lou O.
    Bian X.
    Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2022, 28 (04): : 1129 - 1142
  • [23] Fast optimal decision of short-term dispatch of Three Gorges and Gezhouba cascade hydropower stations with navigation demand considered
    State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300072, China
    Xitong Gongcheng Lilum yu Shijian, 5 (1345-1350):
  • [24] Optimal operation of cascade hydropower stations using hydrogen as storage medium
    Lu, Di
    Wang, Bende
    Wang, Yaodong
    Zhou, Huicheng
    Liang, Qiuhua
    Peng, Yong
    Roskilly, Tony
    APPLIED ENERGY, 2015, 137 : 56 - 63
  • [25] Medium and Long Term Optimal Scheduling of Cascade Hydropower Stations Based on Topological Parallel Computing
    Ji, Changming
    Wu, Hao
    JOURNAL OF COASTAL RESEARCH, 2019, : 572 - 577
  • [26] Optimization of fire distribution for multiple SGSW based on improved NSGA-Ⅲ
    Liu Q.
    Liu X.
    Wu J.
    Li Y.
    Chen H.
    Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2020, 42 (09): : 1995 - 2002
  • [27] Dynamic multi-swarm differential learning harris hawks optimizer and its application to optimal dispatch problem of cascade hydropower stations
    Liu, Junfeng
    Liu, Xinggao
    Wu, Yun
    Yang, Zhe
    Xu, Jian
    KNOWLEDGE-BASED SYSTEMS, 2022, 242
  • [28] Discussion on the short-term weekly optimal scheduling of cascade hydropower stations
    Li, Liang
    Zhou, Yun
    Huang, Qiang
    Shuili Fadian Xuebao/Journal of Hydroelectric Engineering, 2009, 28 (04): : 38 - 42
  • [29] Study on Generation Scheduling of Cascade Hydropower Stations Based on SAPSO
    Yi, Min
    Mo, Li
    Shen, Qin
    JOURNAL OF COASTAL RESEARCH, 2020, : 371 - 378
  • [30] Optimal operation model for cascade hydropower stations in multiple power generation subjects
    State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China
    Huazhong Ligong Daxue Xuebao, 2008, 7 (60-62):
12345