Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A method for abnormal monitoring of transformer top layer oil temperature based on multi-dimensional information

A technology of top oil temperature and multi-dimensional information, which is used in temperature measurement of moving fluid, complex mathematical operations, design optimization/simulation, etc. problems, to achieve the effect of improving prediction accuracy and generalization ability, realizing abnormality monitoring, and reducing training time.

Active Publication Date: 2022-05-13
HANGZHOU ANMAISHENG INTELLIGENT TECH CO LTD
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that the existing technology fails to fully consider the environmental conditions of the transformer when calculating the temperature rise of the transformer top layer oil, and does not correct the key parameter values ​​in the calculation model of the top layer oil temperature rise; The parameters of the road physical model and the data regression model are identified and optimized, resulting in insufficient accuracy of the calculation results of the top layer oil temperature, and the shortcoming of being unable to accurately characterize the change of the hot spot temperature of the winding; a multi-dimensional information-based abnormal monitoring of the transformer top layer oil temperature is proposed method, fully consider the environmental conditions of the transformer, and identify and correct the key parameters in the temperature rise model, predict the trend of the residual error of the top oil temperature, and improve the monitoring accuracy of the transformer top oil temperature

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A method for abnormal monitoring of transformer top layer oil temperature based on multi-dimensional information
  • A method for abnormal monitoring of transformer top layer oil temperature based on multi-dimensional information
  • A method for abnormal monitoring of transformer top layer oil temperature based on multi-dimensional information

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0060] Example: such as figure 1 As shown, a monitoring method for abnormal oil temperature on the top layer of a transformer based on multi-dimensional information uses 30-day top oil temperature, primary side current, voltage, and corresponding ambient temperature, humidity, and wind speed of an oil-immersed transformer as sample data, and data sampling The interval is 1min. The data of the first 20 days is used as the training set, and the data of the last 10 days is used as the test set.

[0061] Step A, initialize the CS algorithm, establish the fitness evaluation model of the bird's nest location, and initialize the fitness value, including the following steps:

[0062] Step A1. Select n, R, T in the Susa thermal circuit calculation model or , τ or And SVR hyperparameters C, gamma as the object of identification optimization, determine the optimization range of each object, respectively n∈[0.6,1.5], R∈[4.5,7.5], T or ∈[30,150],τ or ∈ [90,200], C ∈ [0.01, 1000], gamm...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a multi-dimensional information-based monitoring method for abnormal oil temperature on the top layer of a transformer, comprising the following steps: step A, initializing the CS algorithm, establishing a fitness evaluation model of the bird's nest position, and initializing the fitness value; step B, calculating the global maximum The optimal solution and the local optimal solution of each bird's nest location; step C, constructing the Susa thermal circuit calculation model and the SVR regression compensation model respectively according to the identified parameters; step D, based on the Susa thermal circuit calculation model, obtain a preliminary top oil temperature prediction value; step E, based on the SVR regression compensation model, to obtain the final predicted value of the top oil temperature; step F, using the ARIMA method to predict the short-term trend of the residual after the moving average. This scheme fully considers the environmental conditions of the transformer, and identifies and corrects the key parameters in the temperature rise model, predicts the residual error of the top oil temperature, and improves the monitoring accuracy of the transformer top oil temperature.

Description

technical field [0001] The invention relates to the field of electric equipment detection, in particular to a multi-dimensional information-based method for monitoring abnormal oil temperature on the top layer of a transformer. Background technique [0002] Oil-immersed transformer is an important component of the power system, and its internal overheating will lead to many problems such as the decline of the insulation performance of the transformer. Winding overheating is an important cause of internal overheating of the transformer, but it is difficult to directly measure the hot spot temperature of the winding, so the change of the hot spot temperature of the winding is represented by the change of the top layer oil temperature. At present, the calculation model of the top oil temperature rise is mainly based on the temperature rise calculation formula of IEEE C57.91 and IEC 60076-7. On the one hand, it simplifies the environmental factors and fails to fully consider the...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/27G06F17/18G01K13/02G06F111/10G06F119/08
CPCG06F30/27G06F17/18G01K13/02G06F2111/10G06F2119/08
Inventor 杨皓杰杨雨李倩孙丰诚
Owner HANGZHOU ANMAISHENG INTELLIGENT TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com