基于变权灰云模型的变压器状态层次评估方法

doi:10.19595/j.cnki.1000-6753.tces.190827

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Abstract In order to objectively and scientifically evaluate the transformer condition, a hierarchical index system for transformer condition evaluation was established, and a hierarchical assessment method for transformer condition based on weight-varying grey cloud model was proposed. Firstly, the cloud model was used to improve traditional whitening weight function to build grey cloud model. Compared with the traditional grey clustering whitening weight function, the grey cloud model could effectively reflect fuzziness, greyness and randomness for information of evaluation level. To better reflect the uncertainty of the transformer status information, the cloud correlation was calculated using index cloud model instead of index value. Then, the condition of transformer fault layer was obtained by association rules and grey cloud clustering. The overall condition of transformer was obtained by weight-varying fusion. To acquire the final evaluation result, the condition of transformer fault layer and the overall condition were considered comprehensively. Finally, the case studies verified that the proposed method is effective and superior.

Key words： Transformer condition assessment cloud model weight-varying theory gray cloud clustering cloud correlation

Received: 05 July 2019

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TM411

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	Du Jiang
	Sun Mingyang

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Du Jiang,Sun Mingyang. Hierarchical Assessment Method of Transformer Condition Based on Weight-Varying Grey Cloud Model[J]. Transactions of China Electrotechnical Society, 2020, 35(20): 4306-4316.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.190827 OR https://dgjsxb.ces-transaction.com/EN/Y2020/V35/I20/4306

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