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Research on Risk Evaluation of Transnational Power Networking Projects Based on the Matter-Element Extension Theory and Granular Computing

Author

Listed:
  • Jinying Li

    (Department of Economics and Management, North China Electric Power University, Baoding 071003, China)

  • Fan Wu

    (Department of Economics and Management, North China Electric Power University, Baoding 071003, China)

  • Jinchao Li

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Yunqi Zhao

    (State Grid Energy Research Institute, Beijing 102206, China)

Abstract

In project management, risk assessment is crucial for stakeholders to identify the risk factors during the whole life cycle of the project. A risk evaluation index system of a transnational networking project, which provides an effective way for the grid integration of clean electricity and the sustainable development of the power industry, is constructed in this paper. Meanwhile, a combination of granular computing and order relation analysis (G1 method) is applied to determine the weight of each indicator and the matter-element extension evaluation model is also employed to seek the global optimal decision during the risk assessment. Finally, a case study is given to validate the index system and evaluation model established in this paper by assessing two different investment schemes of a transnational high voltage direct current (HVDC) transmission project. The result shows that the comprehensive risk level of Scheme 1 is “Low” and the level of Scheme 2 is “General”, which means Scheme 1 is better for the stakeholders from the angle of risk control. The main practical significance of this paper lies in that it can provide a reference and decision support for the government’s power sectors, investment companies and other stakeholders when carrying out related activities.

Suggested Citation

  • Jinying Li & Fan Wu & Jinchao Li & Yunqi Zhao, 2017. "Research on Risk Evaluation of Transnational Power Networking Projects Based on the Matter-Element Extension Theory and Granular Computing," Energies, MDPI, vol. 10(10), pages 1-19, October.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:10:p:1523-:d:114143
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    References listed on IDEAS

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    Cited by:

    1. Xiaoling Wang & Hongling Yu & Peng Lv & Cheng Wang & Jun Zhang & Jia Yu, 2019. "Seepage Safety Assessment of Concrete Gravity Dam Based on Matter-Element Extension Model and FDA," Energies, MDPI, vol. 12(3), pages 1-21, February.
    2. Jakub Horak & Tomas Krulicky & Zuzana Rowland & Veronika Machova, 2020. "Creating a Comprehensive Method for the Evaluation of a Company," Sustainability, MDPI, vol. 12(21), pages 1-23, November.
    3. Yunqi Zhao & Jing Xiang & Jiaming Xu & Jinying Li & Ning Zhang, 2019. "Study on the Comprehensive Benefit Evaluation of Transnational Power Networking Projects Based on Multi-Project Stakeholder Perspectives," Energies, MDPI, vol. 12(2), pages 1-21, January.
    4. Jinying Li & Jiaming Xu & Xin Tan, 2018. "Dynamic Comprehensive Benefit Evaluation of the Transnational Power Grid Interconnection Project Based on Combination Weighting and TOPSIS Grey Projection Method," Sustainability, MDPI, vol. 10(12), pages 1-15, December.

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    More about this item

    Keywords

    transnational networking project; risk evaluation; granular computing; G1 method; matter-element extension evaluation model;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets

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