A Comprehensive Risk Management Evaluation of the Entire Process of Executing Investments in Power Grid Projects

Ruixin Qian (), Zhongjian Liu (), Xianing Jin (), Danlei Hu (), Bingliang Shan () and Junyao Liu ()
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Ruixin Qian: State Grid Economic and Technological Research Institute Co., Ltd., the State Grid Hubei Economic Research Institute
Zhongjian Liu: State Grid Economic and Technological Research Institute Co., Ltd., the State Grid Hubei Economic Research Institute
Xianing Jin: State Grid Economic and Technological Research Institute Co., Ltd., the State Grid Hubei Economic Research Institute
Danlei Hu: State Grid Economic and Technological Research Institute Co., Ltd., the State Grid Hubei Economic Research Institute
Bingliang Shan: State Grid Economic and Technological Research Institute Co., Ltd., the State Grid Hubei Economic Research Institute
Junyao Liu: State Grid Economic and Technological Research Institute Co., Ltd., the State Grid Hubei Economic Research Institute

A chapter in Proceedings of the 2025 5th International Conference on Informatization Economic Development and Management (IEDM 2025), 2025, pp 67-76 from Springer

Abstract: Abstract With the proposal of the national new energy development strategy and the reform of power system, accurate investment decision-making and investment efficiency improvement are quite important. For grid project investment needs to be considered from the whole process, constructing a risk management evaluation index system for the whole process of grid project investment implementation has become an important issue for grid enterprises. This paper proposes an evaluation model based on the combination of empowerment-TOPSIS, and the results of the case analysis show that the model can quantify the investment risk of grid projects from four dimensions: risk identification, risk early warning, risk response, and risk management mechanism improvement, so as to rank the investment risk evaluation level of the project.

Keywords: risk management; system of indicators; weight combination; TOPSIS (search for similar items in EconPapers)
Date: 2025
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DOI: 10.2991/978-94-6463-724-3_7

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