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

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.

Creating a Comprehensive Method for the Evaluation of a Company

“…Ojstersek and Buchmeister [61] find optimal use and comprehensive evaluation of pipeline resources in the form of data envelopment analysis (DEA) and subsequent analytical hierarchy process (AHP), with transmission efficiency and economic efficiency compromised. An index system of risk assessment for a transnational network project is created by Li et al [62] in order to provide reference and decision-making support to government energy sectors and investment companies. The importance of prediction and the need to constantly refine the methods is emphasized by Makridakis, Spiliotis, and Assimakopoulos [63], who conclude in favour of hybrid or combined models.…”

Dynamic Comprehensive Benefit Evaluation of the Transnational Power Grid Interconnection Project Based on Combination Weighting and TOPSIS Grey Projection Method

“…On the basis of the existing relevant case background in the literature [33], this paper improves and supplements the necessary parameters and data which are not clearly given in the data. Then, the evaluation index system and evaluation model established in this paper are used to evaluate the comprehensive benefits of eight plans of transnational power grid interconnection projects.…”

Study on Sustainable Development of the Transnational Power Grid Interconnection Projects under Diversified Risks Based on Variable Weight Theory and Bayesian Network

“…e method includes standard risk classification and structured risk assessment techniques for different types of power plants, such as specific gravity and probability. Li et al [19] built a comprehensive risk assessment index system and criteria including 11 indexes: national relation, terrorist attacks, and so on. rough the analysis of internal and external risk factors that transnational power networking projects may face, they adopted granular computing to determine the index weights.…”