Multi-objective optimal dispatch of cascade hydropower stations based on shuffled particle swarm operation algorithm

被引：0
|
作者：
Zhou, Jian-Zhong [1 ]
Li, Ying-Hai [1 ]
Xiao, Ge [2 ]
Zhang, Yong-Chuan [1 ]
机构：
[1] Huazhong University of Science and Technology, Wuhan 430074, China
[2] Three Gorges Cascade Dispatching and Communication Center, Yichang 443133, China
来源：
Shuili Xuebao/Journal of Hydraulic Engineering | 2010年 / 41卷 / 10期
关键词：
Compendex;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Hydroelectric power
引用
收藏
页码：1212 / 1219
相关论文
共 50 条
  • [1] Study of Optimal Operation of Cascade Hydropower Stations Based on an Improved Particle Swarm Algorithm
    Zhang, Ming
    Shi, Sha
    Wu, Jingxiu
    Fan, Ziwu
    Wang, Yingying
    [J]. PROCEEDINGS OF THE 35TH IAHR WORLD CONGRESS, VOLS III AND IV, 2013,
  • [2] A New Particle Swarm Optimization Algorithm to Hierarchy Multi-objective Optimization Problems and Its Application in Optimal Operation of Hydropower Stations
    Yang, Junjie
    [J]. JOURNAL OF COMPUTERS, 2012, 7 (08) : 2039 - 2046
  • [3] Multi-objective Optimal Operation of Cascade Hydropower Stations Based on Objective Adjacent Scale and Marginal Analysis Principle
    Zhang, Juntao
    Shen, Jianjian
    Cheng, Chuntian
    Niu, Wenjing
    [J]. Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2019, 39 (05): : 1268 - 1277
  • [4] Study on cascade hydropower alternative schemes based on multi-objective particle swarm optimization algorithm
    Wu, Jia-peng
    Liu, Lai-sheng
    Gao, Ji-jun
    Wang, Qi-wen
    [J]. ENERGY REPORTS, 2020, 6 : 235 - 242
  • [5] Application of immune particle swarm optimization algorithm to short-term optimal dispatch of cascade hydropower stations
    Wuhan University, Wuhan 430072, China
    不详
    不详
    [J]. Shuili Xuebao, 2008, 4 (426-432):
  • [6] A parallel multi-objective particle swarm optimization for cascade hydropower reservoir operation in southwest China
    Niu, Wen-jing
    Feng, Zhong-kai
    Cheng, Chun-tian
    Wu, Xin-yu
    [J]. APPLIED SOFT COMPUTING, 2018, 70 : 562 - 575
  • [7] Multi-Objective Optimal Dispatch of Power System with Wind Power Based on Improved Particle Swarm Algorithm
    Zhang, Yihui
    Huz, Zhijian
    Gong, Xiaolu
    Zhang, Menglin
    Wang, He
    Yan, Li
    [J]. ENERGY DEVELOPMENT, PTS 1-4, 2014, 860-863 : 353 - +
  • [8] Lion swarm optimization algorithm for comparative study with application to optimal dispatch of cascade hydropower stations
    Liu, Junfeng
    Li, Dingfang
    Wu, Yun
    Liu, Dedi
    [J]. APPLIED SOFT COMPUTING, 2020, 87 (87)
  • [9] Multi-objective Particle Swarm Optimization Algorithm Based on the Disturbance Operation
    Gao, Yuelin
    Qu, Min
    [J]. ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, PT I, 2011, 7002 : 591 - 600
  • [10] Application of a Novel Jaya Algorithm Based on Chaotic Sequence and Opposition-based Learning in the Multi-objective Optimal Operation of Cascade Hydropower Stations System
    Wei, Yiming
    Dong, Zengchuan
    [J]. WATER RESOURCES MANAGEMENT, 2021, 35 (05) : 1397 - 1413
12345