A Pythagorean fuzzy set-based approach for evaluating power grid physical assets

Hongyu Zhou; Yiming Yang; Yinghua Chen; Yanqin Ge; He Wang; Huizhi Hou

doi:10.1117/12.3038233

7 August 2024 A Pythagorean fuzzy set-based approach for evaluating power grid physical assets

Hongyu Zhou, Yiming Yang, Yinghua Chen, Yanqin Ge, He Wang, Huizhi Hou

Proceedings Volume 13229, Seventh International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2024); 1322910 (2024) https://doi.org/10.1117/12.3038233
Event: Seventh International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2024), 2024, Nanchang, China

Abstract

With the continuous development of new power system, there are new changes and requirements for the types and functions of physical assets in power grid and the relationship between physical assets. In view of the current situation of assets in power grid enterprises, it is necessary to carry out efficient physical asset management, evaluate and manage physical assets. In this paper, according to the characteristics of grid physical assets under the new power system, the integrated fuzzy evaluation method based on Pythagorean fuzzy sets and contributing characteristics is used to evaluate the grid physical assets. Evaluating the physical asset condition of power grids in each region with this method, the results show that the best comprehensive level is in Jiangsu Province, and the worst is in Tibet Autonomous Region. Therefore, for the regions with poor asset quality, it is recommended to strengthen the technical transformation and upgrading of assets, and to strengthen the overhaul of assets with serious abnormalities in order to ensure the normal use of assets.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Hongyu Zhou, Yiming Yang, Yinghua Chen, Yanqin Ge, He Wang, and Huizhi Hou "A Pythagorean fuzzy set-based approach for evaluating power grid physical assets", Proc. SPIE 13229, Seventh International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2024), 1322910 (7 August 2024); https://doi.org/10.1117/12.3038233

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