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.
KEYWORDS: Power grids, Risk assessment, Reliability, Power supplies, Power consumption, Network security, Fuzzy logic, Renewable energy, Logic, Data modeling
Grid companies in the investment process will occur due to the investment decision is unreasonable to make the unhealthy state assets redundant events, in order to measure the power grid in the future at a certain time node of the technical reform investment risk, put forward a combination of the asset wall theory of the grid main equipment asset wall risk, and accordingly put forward a fault tree and Bayesian network based on the asset wall risk assessment method. The fault tree model is constructed on the basis of comprehensive consideration of asset wall risk characteristics and transformed into a Bayesian network, and the Bayesian network model of asset wall risk causation is further constructed separately by the Bayesian network method. In this way, we analyze the relationship chain of asset wall risk factors and key causes.
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