基于气体成分分析的变压器过热隐患预警方法

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Abstract At present, the analysis of dissolved gas in oil is one of the most reliable methods for the condition analysis of oil-immersed transformers. Aiming at the hidden danger of transformer overheating, this paper proposes an early warning method for the hidden danger of transformer overheating based on gas composition analysis. Firstly, the K-level difference method and one-class support vector machine are used to establish an early warning model that can identify the early hidden dangers of transformers. Secondly, following a unique alarm triggering mechanism, it is com- prehensively judged whether the current transformer has hidden dangers of overheating. Finally, the verification of real transformer data shows that the proposed method has high identification sensitivity.

Key words： dissolved gas analysis (DGA) in oil one-class support vector machine early warning

Received: 22 May 2022

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	Articles by authors
	TAN Yikun
	CHEN Ming
	HUANG Teng
	QIAO Supeng
	LI Zhijun

Cite this article:

TAN Yikun,CHEN Ming,HUANG Teng等. An early warning method for transformer overheating based on gas composition analysis[J]. Electrical Engineering, 2022, 23(10): 51-58.

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http://dqjs.cesmedia.cn/EN/Y2022/V23/I10/51

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