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Risk assessment of power transmission and transformation projects based on hierarchical fuzzy TOPSIS method
Author(s) -
Weiyun Lu,
Songfeng Shi,
Dawei Han,
Jing Ma
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2254/1/012029
Subject(s) - topsis , analytic hierarchy process , operability , computer science , transformation (genetics) , power transmission , risk analysis (engineering) , reliability engineering , index (typography) , transmission (telecommunications) , power (physics) , operations research , industrial engineering , engineering , business , telecommunications , physics , quantum mechanics , world wide web , gene , biochemistry , chemistry
Due to the large investment, long construction period, and extensive coverage of power grid engineering projects, it is common for project settlement and completion acceptance to lag behind. Therefore, it is of great significance to realize the reasonable control of the cost of power grid enterprises to do a good job in the transfer of power transmission and transformation projects in a timely manner and avoid the risk of transfer. Combining the current status of capital transfer in power transmission and transformation projects, and relying on the identification of key points of capital transfer in different construction stages of power transmission and transformation projects, this paper innovatively proposes a risk index system for capital transfer, and further uses the analytic hierarchy process to determine the index weights, and then uses the fuzzy TOPSIS method to construct an evaluation The model can realize the effective assessment of capital transfer risk, which can provide reference and support for improving the efficiency of capital transfer of power transmission and transformation projects in an all-round way. Finally, the operability and scientificity of the evaluation index system and evaluation method are verified by the form of an example.

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