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Cooperative Game-Based Synergistic Gains Allocation Methods for Wind-Solar-Hydro Hybrid Generation System with Cascade Hydropower

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  • Liqin Zhang

    (College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China)

  • Jun XIE

    (College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China)

  • Xingying CHEN

    (College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China)

  • Yongsheng Zhan

    (Yalong River Hydropower Development Company LTD, Chengdu 610051, China)

  • Lv Zhou

    (Yalong River Hydropower Development Company LTD, Chengdu 610051, China)

Abstract

In order to encourage hybrid generation of multiple wind/solar/hydro power stakeholders, synergistic gains from hybrid generation should be allocated fairly, efficiently and reasonably to all power stakeholders. This paper explores how cooperative game theory resolves conflicts among multiple wind/solar/hydro power stakeholders. Elaborate allocation processes of the nucleolus, Shapley value and MCRS methods are presented in resolve synergistic gains allocation problems of wind–solar–hydro hybrid generation system with cascade hydropower. By analyzing properties such as existence, uniqueness and rationality, we find that both the Shapley value and MCRS methods are fair, efficient and rational allocation methods whereas the nucleolus method is limited by reservoir volume of hydro power stakeholders. Analyses on computational feasibility show that the Shapley value method may induce combinational explosion problem with the integration of more power stakeholders. A further application in Yalong River basin demonstrates that, compared with the Shapley value method, the MCRS method significantly simplifies allocating process and improves computational efficiency. Therefore, the MCRS method is recommend as a fair, efficient, rational and computational feasible allocation method for hybrid generation system with large number of wind/solar/hydro power stakeholders.

Suggested Citation

  • Liqin Zhang & Jun XIE & Xingying CHEN & Yongsheng Zhan & Lv Zhou, 2020. "Cooperative Game-Based Synergistic Gains Allocation Methods for Wind-Solar-Hydro Hybrid Generation System with Cascade Hydropower," Energies, MDPI, vol. 13(15), pages 1-14, July.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:15:p:3890-:d:391927
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    References listed on IDEAS

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    1. Bin Xu & Yufei Ma & Ping-an Zhong & Zhongbo Yu & Jianyun Zhang & Feilin Zhu, 2018. "Bargaining Model of Synergistic Revenue Allocation for the Joint Operations of a Multi-Stakeholder Cascade Reservoir System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(14), pages 4625-4642, November.
    2. Wei, Hu & Hongxuan, Zhang & Yu, Dong & Yiting, Wang & Ling, Dong & Ming, Xiao, 2019. "Short-term optimal operation of hydro-wind-solar hybrid system with improved generative adversarial networks," Applied Energy, Elsevier, vol. 250(C), pages 389-403.
    3. Faria, Victor. A.D. & de Queiroz, Anderson Rodrigo & Lima, Luana M.M. & Lima, José W.M., 2018. "Cooperative game theory and last addition method in the allocation of firm energy rights," Applied Energy, Elsevier, vol. 226(C), pages 905-915.
    4. Pramod Rajput & Maria Malvoni & Nallapaneni Manoj Kumar & O. S. Sastry & Arunkumar Jayakumar, 2020. "Operational Performance and Degradation Influenced Life Cycle Environmental–Economic Metrics of mc-Si, a-Si and HIT Photovoltaic Arrays in Hot Semi-arid Climates," Sustainability, MDPI, vol. 12(3), pages 1-20, February.
    5. Xinshuo Zhang & Guangwen Ma & Weibin Huang & Shijun Chen & Shuai Zhang, 2018. "Short-Term Optimal Operation of a Wind-PV-Hydro Complementary Installation: Yalong River, Sichuan Province, China," Energies, MDPI, vol. 11(4), pages 1-19, April.
    6. Xiaodan Zhang & Jian Lv & Jianming Xie & Jihua Yu & Jing Zhang & Chaonan Tang & Jing Li & Zhixue He & Cheng Wang, 2020. "Solar Radiation Allocation and Spatial Distribution in Chinese Solar Greenhouses: Model Development and Application," Energies, MDPI, vol. 13(5), pages 1-27, March.
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    1. Tianyao Zhang & Diyi Chen & Jing Liu & Beibei Xu & Venkateshkumar M, 2020. "A Feasibility Analysis of Controlling a Hybrid Power System over Short Time Intervals," Energies, MDPI, vol. 13(21), pages 1-21, October.

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