Method for evaluating health index of distribution transformer

A distribution transformer, health index technology, applied in the direction of instruments, data processing applications, forecasting, etc.

Inactive Publication Date: 2016-03-16
CHINA ELECTRIC POWER RES INST +4
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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 ...

Method used

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  • Method for evaluating health index of distribution transformer
  • Method for evaluating health index of distribution transformer
  • Method for evaluating health index of distribution transformer

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Embodiment Construction

[0034] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0035] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0036] The invention provides a distribution transformer health index evaluation method, such as figure 1 shown, including:

[0037] (1) Obtain the characteristic quantity x character...

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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 ...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06Y04S10/50
Inventor 马钊袁海文左伟杰周莉梅吕建勋孙凌杰刘伟盛万兴苏剑王秋生刘颖异
Owner CHINA ELECTRIC POWER RES INST
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