Method for predicting weight and overload of distribution transformer

A technology of heavy overload and transformer distribution, which can be used in forecasting, instruments, complex mathematical operations, etc., and can solve problems such as economic losses

Active Publication Date: 2021-10-29
GUANGXI POWER GRID CO LTD NANNING POWER SUPPLY BUREAU
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a method for predicting the overload of distribution transformers, which can solve the economic losses caused by the overload of distribution transformers (distribution transformers) in the prior art through the statistical calculation of power big data

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  • Method for predicting weight and overload of distribution transformer
  • Method for predicting weight and overload of distribution transformer
  • Method for predicting weight and overload of distribution transformer

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Embodiment Construction

[0040] Embodiments of the present disclosure will be described in detail below in conjunction with the accompanying drawings.

[0041] Embodiments of the present disclosure are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present disclosure from the contents disclosed in this specification. Apparently, the described embodiments are only some of the embodiments of the present disclosure, not all of them. The present disclosure can also be implemented or applied through different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present disclosure. It should be noted that, in the case of no conflict, the following embodiments and features in the embodiments can be combined with each other. Based on the embodiments in the present disclosure, a...

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Abstract

The invention discloses a method for predicting heavy overload of a distribution transformer. The method comprises the following steps: acquiring historical data of heavy overload of a transformer area; according to the historical data of the heavy overload of the transformer area, determining characteristic variables influencing the heavy overload of the distribution transformer; determining the influence proportion of each characteristic variable; analyzing the historical data of the heavy overload of the transformer area to obtain a danger set value of each characteristic variable; according to the historical data of the heavy overload of the transformer area, obtaining the probability that the heavy overload occurs when each characteristic variable reaches a dangerous set value; according to a Bayesian rule, determining the probability of heavy overload when each characteristic variable reaches a dangerous set value; by monitoring each characteristic variable, acquiring the probability of heavy overload of the distribution transformer according to a total probability formula. Through the data integration platform based on the power grid big data, the real-time distribution transformer heavy overload probability is analyzed by using the statistical principle and probabilistic analysis, so that the risk of distribution transformer heavy overload is prevented, and the safety and economic benefits of power equipment operation are improved.

Description

technical field [0001] The invention relates to the technical field of electric power big data application, in particular to a method for predicting the overload of a distribution transformer. Background technique [0002] With the maturity of various business system applications and the implementation of full coverage of low-voltage centralized reading, power supply companies have accumulated massive data including business operations, production operations, and customer services. However, these data have not really realized the integrated application across business domains. After the data integration platform of each power grid company goes online, various data assets will be collected on the data integration platform one after another. Carrying out data integration applications in various business domains and digging deep into the value of big data will promote the realization of data assets and improve data-based management. Help with decision making. [0003] The dis...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06G06F17/18
CPCG06Q10/04G06Q50/06G06F17/18Y04S10/50
Inventor 李绍坚杨晓燕王益成黄霖莫江婷侯振华赖焘焘李江伟符华苏宏宇李麟梁卓玲周平
Owner GUANGXI POWER GRID CO LTD NANNING POWER SUPPLY BUREAU
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