Evolutionary Game Analysis of Tripartite Cooperation Strategy under Mixed Development Environment of Cascade Hydropower Stations

被引:1
|
作者
Yun Chen
Zhigen Hu
Quan Liu
Shu Chen
机构
[1] Wuhan University,State Key Laboratory of Water Resources and Hydropower Engineering Science
[2] Wuhan University,School of Water Resources and Hydropower Engineering
[3] China Three Gorges University,College of Hydraulic & Environmental Engineering
来源
关键词
Cascade hydropower stations; Mixed development environment; Tripartite cooperation strategy; Strategy stability; Evolutionary game;
D O I
暂无
中图分类号
学科分类号
摘要
Joint operation of cascade hydropower stations maximizes the utilization rate of water resources of a river basin and the benefit of the entire river system. However, under mixed development environment of cascade hydropower stations, i.e. simultaneous existence of operating and under-construction hydropower stations, the difficulty of the joint operation is increased. Moreover, this difficulty is further enhanced due to the cooperation among multiple stakeholders and uncertain evolutionary characteristic of stakeholder’s strategy. To handle these problems, this paper takes two upstream operating hydropower stations and one downstream hydropower station under construction as research objects, where one of upstream hydropower station locates in a tributary. First, all possible strategy combinations among these three stakeholders are comprehensively analyzed, and the benefit of each stakeholder strategy under each strategy combination is respectively calculated. A tripartite evolutionary game model is then established. It aims at exploring directions and conditions of cooperative and non-cooperative strategies evolving into stable states. Finally, the exploration results find that the strategy evolution of a stakeholder relies on its partners’ behaviors and net benefit of self-behavior; the tripartite cooperation will eventually form four stable states; the conditions for cooperation between upstream and downstream hydropower stations are that the compensation paid by downstream hydropower station is greater than the loss of upstream power generation and downstream project benefit is greater than the sum of compensation expenditure and risk benefit.
引用
收藏
页码:1951 / 1970
页数:19
相关论文
共 50 条
  • [41] How to Promote the Development of Industrial Wastewater Treatment Technological Innovation in China: A Tripartite Evolutionary Game Analysis
    Mu, Xiaoman
    Lu, Suao
    Li, Qinyi
    SUSTAINABILITY, 2023, 15 (21)
  • [42] The evolutionary game analysis of water environment supervision under the system of emission trade
    Qiu Lei
    Wang Qi
    PROCEEDINGS OF INTERNATIONAL SYMPOSIUM ON STATISTICS AND MANAGEMENT SCIENCE 2010, 2010, : 258 - 261
  • [43] Tripartite Evolutionary Game Analysis for Plastic Pollution Prevention and Control under the Background of China's Plastic Ban
    Ouyang, Chenlu
    Jiang, Huiqi
    Sheng, Qing
    Liu, Guannan
    Jiang, Minghui
    SUSTAINABILITY, 2022, 14 (04)
  • [44] Tripartite evolutionary game analysis of government reward and punishment mechanisms and agricultural resilience under a dual carbon context
    Zhou, Xiaoli
    Han, Mingyang
    CHINA AGRICULTURAL ECONOMIC REVIEW, 2025, 17 (01) : 64 - 88
  • [45] Tripartite evolutionary game analysis on corporate carbon reduction decisions considering dual supervision under carbon trading
    Li, Fang
    Guo, Yuhang
    Dong, Tianhao
    Liu, Bin
    Geng, Xiuli
    COMPUTERS & INDUSTRIAL ENGINEERING, 2024, 187
  • [46] A tripartite evolutionary game analysis of providing subsidies for pick-up/drop-off strategy in carpooling problem
    Yan Z.
    Li L.
    Zhao H.
    Mualla Y.
    Yasar A.
    Autonomous Intelligent Systems, 2023, 3 (01):
  • [47] Evolutionary game and simulation analysis of tripartite subjects in public health emergencies under government reward and punishment mechanisms
    Gao, Dandan
    Guo, Wei
    SCIENTIFIC REPORTS, 2025, 15 (01):
  • [48] Tripartite Evolutionary Game Analysis of Participants' Behaviors in Technological Innovation of Mega Construction Projects under Risk Orientation
    Wang, Qinge
    Pan, Liying
    BUILDINGS, 2023, 13 (02)
  • [49] Tripartite evolutionary game and simulation analysis of governments, enterprises, and consumers under a carbon-generalised system of preferences
    Qian, Yunchen
    Yue, Ting
    INTERNATIONAL JOURNAL OF GLOBAL WARMING, 2024, 32 (02) : 226 - 244
  • [50] Carbon emission reduction behavior strategies in the shipping industry under government regulation: A tripartite evolutionary game analysis
    Meng, Lingpeng
    Liu, Kemeng
    He, Junliang
    Han, Chuanfeng
    Liu, Pihui
    JOURNAL OF CLEANER PRODUCTION, 2022, 378