Artificial intelligence-based distribution transformer anomaly analysis and early warning method

Abstract

The invention discloses an artificial intelligence-based distribution transformer anomaly analysis and early warning method, which comprises the following steps: performing sensitivity analysis on associated factors such as air temperature, capacity and operation age limit, constructing a TOPSIS-based evaluation algorithm by using a multi-dimensional data analysis and mining technology, constructing an evaluation model, evaluating and scoring each distribution transformer by using the TOPSIS evaluation algorithm, estimating the distribution transformer overload occurrence probability, issuingan advanced early warning notification to a professional department, providing differentiated operation and maintenance suggestions for abnormal distribution transformers according to the severity reflected by scoring, providing big data support for lean operation and maintenance of the distribution transformers, thus realizing post-event governance to pre-event pre-control, improving the advancedmonitoring, early warning and operation and maintenance level of the distribution transformers, and reducing the distribution transformer overload rate.

Description

Technical field: [0001] The invention relates to the field of power supply and transformation maintenance, in particular to an artificial intelligence-based analysis and early warning method for distribution transformer abnormality. Background technique: [0002] With the continuous development of social economy and the rapid improvement of people's lives, the demand for electricity in the whole society continues to increase, especially during the summer and winter peak load periods, distribution transformers (low voltage, three-phase imbalance) lead to heavy overload of transformers Frequently, the resulting complaints from residents are also high. How to solve the abnormal operation of distribution transformers, avoid equipment accidents, improve power supply quality, power supply reliability and high-quality service levels is particularly important. [0003] In the prior art, the distribution transformers are regularly inspected to find out the problems and repair them. T...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is: to overcome the deficiencies of the existing technology, use multi-dimensional data analysis and mining technology, construct an evaluation algorithm based on TOPSIS, construct an evaluation model, realize effective monitoring of "heavy overload" of distribution transformers, and pre-evaluate distribution The possibility of "heavy overload" in the power grid can improve the reliability of power supply, improve the operation efficiency and lean management level of the power grid, and the analysis and early warning method of distribution transformer abnormality based on artificial intelligence

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