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Research on the risk-evaluation model of power transmission and transformation projects based on multilevel fuzzy-thought weighting for cloud-model improvement
Author(s) -
Yanli Xiao,
Ruixin Gou,
Zheng Wang,
Ye Wan
Publication year - 2022
Publication title -
clean energy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.593
H-Index - 8
eISSN - 2515-4230
pISSN - 2515-396X
DOI - 10.1093/ce/zkab060
Subject(s) - weighting , cloud computing , fuzzy logic , transformation (genetics) , beijing , computer science , matlab , power transmission , transmission (telecommunications) , process (computing) , reliability engineering , data mining , industrial engineering , power (physics) , risk analysis (engineering) , engineering , artificial intelligence , business , medicine , telecommunications , biochemistry , chemistry , physics , quantum mechanics , gene , law , political science , china , radiology , operating system
The risk evaluation of power transmission and transformation projects is a complex and comprehensive evaluation process influenced by many factors and involves many indicators. In order to solve the uncertainty and fuzziness problems in the process of the multilevel fuzzy risk evaluation of power transmission and transformation projects, this paper introduces the cloud theory, which is specialized in the study of uncertainty problems and constructs the multilevel fuzzy comprehensive risk-evaluation model of power transmission and transformation projects based on the improved multilevel fuzzy-thought weighting based on the cloud model. Finally, the risk of the Beijing 220-kV Tangyu power transmission and transformation project is evaluated and the feasibility of the evaluation model is verified. The results of the evaluation and the evaluation layer cloud model are combined with MATLAB simulation to show that the risk level of the project is between large risk and general risk.

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