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Offshore grid planning considering restricted areas: An evolution game approach

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  • Tao, Siyu
  • Jiang, Fuqing

Abstract

In this paper, offshore wind farm cluster transmission network planning is examined in depth, based on the finite rational evolutionary game method. In the actual project, the game scenarios of offshore wind farm developers and transmission system operators and their respective interests are considered, while cable laying exclusion zones owing to the submarine environment are fully taken into account. Through simulation experiments, the significant effect of the proposed method in improving grid adaptability and interference immunity is verified. The results demonstrate that the proposed finite rational evolutionary game method increases the return on investment by 1.83 % compared to the traditional method, while the payoff ratio of the game participants is 12.81 % lower. In addition, the method excels in ensuring the feasibility of project implementation by successfully balancing the interests between the OWF developer and the power transmission system operator. This offers a new perspective for efficient planning of transmission networks for offshore wind farms that can better cope with complex engineering environments and balance the interests of all parties.

Suggested Citation

  • Tao, Siyu & Jiang, Fuqing, 2024. "Offshore grid planning considering restricted areas: An evolution game approach," Renewable Energy, Elsevier, vol. 237(PA).
    • Handle: RePEc:eee:renene:v:237:y:2024:i:pa:s0960148124016240
    DOI: 10.1016/j.renene.2024.121556
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    References listed on IDEAS

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    1. Cazzaro, Davide & Fischetti, Martina & Fischetti, Matteo, 2020. "Heuristic algorithms for the Wind Farm Cable Routing problem," Applied Energy, Elsevier, vol. 278(C).
    2. Song, Dongran & Yan, Jiaqi & Gao, Yang & Wang, Lei & Du, Xin & Xu, Zhiliang & Zhang, Zhihong & Yang, Jian & Dong, Mi & Chen, Yang, 2023. "Optimization of floating wind farm power collection system using a novel two-layer hybrid method," Applied Energy, Elsevier, vol. 348(C).
    3. Aguayo, Maichel M. & Fierro, Pablo E. & De la Fuente, Rodrigo A. & Sepúlveda, Ignacio A. & Figueroa, Dante M., 2021. "A mixed-integer programming methodology to design tidal current farms integrating both cost and benefits: A case study in the Chacao Channel, Chile," Applied Energy, Elsevier, vol. 294(C).
    4. Larry Samuelson, 2002. "Evolution and Game Theory," Journal of Economic Perspectives, American Economic Association, vol. 16(2), pages 47-66, Spring.
    5. Uti, Mat Nizam & Md Din, Ami Hassan & Yusof, Norhakim & Yaakob, Omar, 2023. "A spatial-temporal clustering for low ocean renewable energy resources using K-means clustering," Renewable Energy, Elsevier, vol. 219(P2).
    6. Wang, Long & Wu, Jianghai & Wang, Tongguang & Han, Ran, 2020. "An optimization method based on random fork tree coding for the electrical networks of offshore wind farms," Renewable Energy, Elsevier, vol. 147(P1), pages 1340-1351.
    7. Liu, Yang & Fu, Yang & Huang, Ling-ling & Ren, Zi-xu & Jia, Feng, 2022. "Optimization of offshore grid planning considering onshore network expansions," Renewable Energy, Elsevier, vol. 181(C), pages 91-104.
    8. Smita Shandilya & Zdzislaw Szymanski & Shishir Kumar Shandilya & Ivan Izonin & Krishna Kant Singh, 2022. "Modeling and Comparative Analysis of Multi-Agent Cost Allocation Strategies Using Cooperative Game Theory for the Modern Electricity Market," Energies, MDPI, vol. 15(7), pages 1-14, March.
    9. Hou, Peng & Hu, Weihao & Chen, Cong & Soltani, Mohsen & Chen, Zhe, 2016. "Optimization of offshore wind farm layout in restricted zones," Energy, Elsevier, vol. 113(C), pages 487-496.
    10. Smail, Houria & Alkama, Rezak & Medjdoub, Abdellah, 2018. "Optimal design of the electric connection of a wind farm," Energy, Elsevier, vol. 165(PB), pages 972-983.
    11. Hou, Peng & Enevoldsen, Peter & Hu, Weihao & Chen, Cong & Chen, Zhe, 2017. "Offshore wind farm repowering optimization," Applied Energy, Elsevier, vol. 208(C), pages 834-844.
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    1. Tao, Siyu, 2025. "An investment game model for offshore power grid multi-stage expansion planning," Renewable Energy, Elsevier, vol. 238(C).

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