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

Method and system for forecasting top oil temperature of transformer

A top-layer oil temperature and prediction method technology, which is applied in the direction of instruments, special data processing applications, complex mathematical operations, etc., can solve problems such as the inability to guarantee whether the parameter function presets are reasonable, and achieve comprehensive models, interpretability, and data dimensions. broad effect

Inactive Publication Date: 2018-10-16
GLOBAL ENERGY INTERCONNECTION RES INST CO LTD +2
View PDF3 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, using the top oil temperature to manually establish a prediction model will not guarantee whether the selection of parameters and the preset function are reasonable

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
  • Method and system for forecasting top oil temperature of transformer
  • Method and system for forecasting top oil temperature of transformer

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] Embodiments of the present invention will be further described below in conjunction with accompanying drawings:

[0034] Such as figure 1 As shown, the prediction method of the present invention includes: based on historical meteorological data, historical oil temperature data and historical load data, establishing a linear regression analysis model of transformer top layer oil temperature; based on historical load data, establishing a load forecast with meteorological and date attributes Model; based on the load forecast model and weather forecast information, determine the load forecast value of the transformer in the future period; based on the linear regression analysis model prediction and the load forecast value of the transformer in the future period, predict the maximum oil temperature of the transformer in the future period.

[0035] Such as figure 2 As shown, the present invention uses multi-dimensional weather, top oil temperature, and load data, combined w...

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 provides a method and a system for forecasting the top oil temperature of a transformer. The method comprises the following steps: based on historical meteorological data, historical oiltemperature data and historical load data, a linear regression analysis model of the top oil temperature of the transformer is established; based on historical load data, a load forecasting model with meteorology and date attributes is established; based on the load forecasting model and meteorological forecasting information, the load forecasting value of the transformer in future time length isdetermined; and based on the linear regression analysis model and the load forecasting value of the transformer in future time length, the maximum oil temperature of the transformer in future time length is forecasted. The top oil temperature forecasting model of the transformer constructed by the invention realizes short-term oil temperature early warning analysis and provides a reference for transformer condition maintenance and accident prevention.

Description

technical field [0001] The invention relates to the field of transformer state monitoring and fault early warning, in particular to a method and system for predicting oil temperature at the top layer of a transformer. Background technique [0002] The operating life and load capacity of oil-immersed power transformers are closely related to oil temperature. Transformers operating at high temperatures are prone to early failure due to overheating. The traditional method regards thermal-related parameters as electrical-related parameters, and artificially establishes a transformer top oil temperature prediction model through thermal-electrical comparison: the input parameters of the model are confirmed, and the functional form of the model is preset. However, using the top oil temperature to artificially establish a prediction model will not guarantee whether the selection of parameters and the presupposition of functions are reasonable. [0003] Therefore, it is necessary to...

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
IPC IPC(8): G06F17/50G06F17/18
CPCG06F17/18G06F30/20G06F2119/04G06F2119/08
Inventor 周爱华郑晓崑梁潇胡斌史宇超陈其鹏
Owner GLOBAL ENERGY INTERCONNECTION RES INST 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