Method for evaluating health index of distribution transformer

Abstract

The present invention relates to a method for evaluating a health index of a distribution transformer. The method comprises: (1) acquiring a characteristic quantity xi which represents a health status of the distribution transformer, wherein i belongs to [1, m], and m represents the number of the characteristic quantity; (2) establishing a health index evaluation model of the distribution transformer; and (3) determining a horizontal position evaluated value of the health index evaluation model and a weight coefficient estimated value beta i* corresponding to the characteristic quantity by adopting a least squares method; and (4) determining the reasonability of the health index evaluation model by adopting a Hosmer-Lemeshow goodness-of-fit index. The method provided by the present invention adopts a logistic regression analysis method to perform a fitting of the health index of an oil-immersed distribution transformer, can obtain an accurate health status evaluation result via a smaller key characteristic quantity, and can provide essential means and tool for advanced asset management.

Description

technical field [0001] The invention relates to the field of power grid operation management, in particular to a distribution transformer health index evaluation method. Background technique [0002] With the expansion of the power supply area of ​​the power grid, the risk of large-scale blackout accidents is gradually increasing. The fault prediction of power equipment based on condition-based maintenance is the basis for preventing potential faults in the power grid. Using existing transformer status information to accurately judge the health status of transformers, predict transformer failures, and arrange maintenance before failures can effectively ensure the safe operation of the power grid and reduce economic losses caused by power outages due to failures. [0003] Under my country's traditional power construction mode of "emphasizing power generation, despising power supply, and ignoring power consumption", online monitoring methods such as advanced sensor technology ...

AI Technical Summary

Problems solved by technology

[0004] The existing research on transformer health assessment technology is mostly aimed at power transformers above 220kV. The evaluation methods mostly use fuzzy theory, evidence theory, Bayesian statistical reasoning and other methods, and the weight coefficients mostly use the method of expert scoring, which is highly subjective.

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