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Energies 2017, 10(10), 1523; doi:10.3390/en10101523

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

1
Department of Economics and Management, North China Electric Power University, Baoding 071003, China
2
School of Economics and Management, North China Electric Power University, Beijing 102206, China
3
State Grid Energy Research Institute, Beijing 102206, China
*
Author to whom correspondence should be addressed.
Received: 19 August 2017 / Revised: 13 September 2017 / Accepted: 22 September 2017 / Published: 5 October 2017
(This article belongs to the Section Energy Sources)
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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. View Full-Text
Keywords: transnational networking project; risk evaluation; granular computing; G1 method; matter-element extension evaluation model transnational networking project; risk evaluation; granular computing; G1 method; matter-element extension evaluation model
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Li, J.; Wu, F.; Li, J.; Zhao, Y. Research on Risk Evaluation of Transnational Power Networking Projects Based on the Matter-Element Extension Theory and Granular Computing. Energies 2017, 10, 1523.

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