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Prediction method of transformer winding hot spot temperature fluctuation range based on fuzzy information granulation

A transformer winding, fuzzy information technology, applied in design optimization/simulation, calculation, computer-aided design, etc., can solve the problem of poor ability of transformer winding hot spot temperature abnormality, etc., to improve prediction accuracy, reduce complexity, and predict accuracy high rate effect

Active Publication Date: 2021-07-16
SHANDONG UNIV
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Problems solved by technology

[0004] All of the above studies have achieved good tracking of the transformer winding temperature. However, these models are relatively poor in predicting the abnormal temperature of the hot spot of the transformer winding in advance.

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  • Prediction method of transformer winding hot spot temperature fluctuation range based on fuzzy information granulation
  • Prediction method of transformer winding hot spot temperature fluctuation range based on fuzzy information granulation
  • Prediction method of transformer winding hot spot temperature fluctuation range based on fuzzy information granulation

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Embodiment Construction

[0045] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0046] It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0047] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinatio...

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Abstract

The invention discloses a fuzzy information granulation-based method for predicting temperature fluctuation ranges of transformer winding hot spots, including determining the number of granulation time windows according to the fuzzy information granulation quality, and extracting effective information of original data by using the fuzzy information granulation technology; The wavelet neural network prediction model is constructed based on effective information, and the structural parameters of the wavelet neural network are optimized through the harmony search algorithm; the temperature fluctuation range of transformer winding hot spots is predicted using the adjusted model of structure and parameters. The prediction accuracy of the invention is high, and has certain guiding significance for the operation and maintenance of the transformer.

Description

technical field [0001] The invention relates to a fuzzy information granulation-based method for predicting temperature fluctuation ranges of transformer winding hot spots. Background technique [0002] Power transformers are very important power transmission and transformation equipment, and have always been the focus of monitoring and protection. The loss of proper insulation ability is the main reason for the end of life of most transformers, and the hot spot temperature of transformer winding is one of the important factors affecting its insulation ability. Winding hot spot temperature, defined as the temperature reached in the hottest area of ​​a transformer winding, has been shown to be a key factor affecting transformer loadability and usable life. When the hot spot temperature of the transformer winding exceeds the allowable value, it will cause damage to the transformer insulation. Therefore, in-depth study of the hot spot temperature of the transformer and early ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/20G06F119/04
CPCG06F30/20G06F2119/04
Inventor 赵彤张黎邹亮刘金鑫段小木王晓龙
Owner SHANDONG UNIV
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