Prediction data-based transformer early warning evaluation method and device

A technology for predicting data and evaluating devices, used in forecasting, data processing applications, instruments, etc., and can solve problems such as stiffness

Active Publication Date: 2018-07-03
GLOBAL ENERGY INTERCONNECTION RES INST CO LTD +2
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Problems solved by technology

[0006] In addition, the existing early warning methods for transformers usually set the early warning threshold based on the limit value of the national standard to determine whether an alarm is required, and the setting of this early warning threshold will appear relatively rigid in many applications

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  • Prediction data-based transformer early warning evaluation method and device
  • Prediction data-based transformer early warning evaluation method and device
  • Prediction data-based transformer early warning evaluation method and device

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Embodiment Construction

[0047] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0048] A transformer early warning evaluation method and device based on prediction data proposed by the present invention, the transformer early warning evaluation device includes:

[0049] The model building module is used to establish a prediction model of gas concentration based on the obtained training sample data; the determination module is used to establish a fuzzy similarity matrix according to the prediction data obtained by the prediction model to obtain the warning threshold; the execution module is used to obtain the warning threshold according to the warning threshold Determine the warning range according to the limit value of the national standard, and realize the early warning report or not report.

[0050] The prediction model includes: a fuzzy support vector machine prediction model; the model building ...

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Abstract

The invention provides a prediction data-based transformer early warning evaluation method and device. The method includes the following steps that: a prediction model of gas concentration is established on the basis of acquired training sample data; a fuzzy similarity matrix is established on the basis of prediction data obtained by the prediction model, so that an early warning threshold value can be obtained; and an early warning is reported or not reported according to the early warning threshold value and a national standard limit value. With the prediction data-based transformer early warning evaluation method and device provided by the technical schemes of the invention adopted, the early warning threshold having a plurality of standards is set according to the features of various types of early warning indexes, and with national standards adopted in combination, early warning results can satisfy actual application requirements to the greatest extent.

Description

technical field [0001] The invention relates to the technical field of electric power automation, in particular to a transformer early warning evaluation method and device based on prediction data. Background technique [0002] At this stage, transformer online monitoring technology has matured and various monitoring methods have been widely used. More accurate and comprehensive transformer real-time monitoring data can be provided to technicians to guide their work. However, if after obtaining the real-time transformer monitoring data, predict and analyze the monitoring data, explore the changing trend of various transformer index data at each monitoring point, and obtain the predicted value of the index in the future period, then the technical staff can be guided according to the trend and The predicted value proposes correct and reasonable solutions to the potential faults of the corresponding transformers. Therefore, it is very necessary to develop a set of scientific e...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06K9/62
CPCG06Q10/04G06F18/23G06F18/214G06F18/2411
Inventor 沈敏轩周胜军谈萌刘颖英安哲王同勋范瑞祥邓才波熊俊杰曹蓓
Owner GLOBAL ENERGY INTERCONNECTION RES INST CO LTD
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