Transformer oil chromatographic data comprehensive analysis and defect prediction system and method

Abstract

The invention provides a transformer oil chromatographic data comprehensive analysis and defect prediction system and method. Discrimination research on oil chromatography invalid data is carried outfrom two dimensions of single data and combined data, the disadvantage of the high misjudgment rate of a single method is avoided, and the credibility of online monitoring data is improved; multiple predictive models are comprehensively used to carry out trend prediction of oil chromatography online monitoring data, and the accuracy of prediction is improved; and a transformer fault combination diagnostic technology is proposed, and the low-energy latent fault can be found as early as possible. According to the transformer oil chromatographic data comprehensive analysis and defect prediction system and method, while the latest industry standard is complied, various data analysis methods are comprehensively used, systematic research on abnormality discrimination, trend prediction, fault diagnosis and transformer status comprehensive evaluation of the transformer oil chromatographic data is carried out, the labor intensity of a management department is effectively reduced, the latent faults for operating a transformer can be timely discovered, business data support is provided for transformer health state assessment and maintenance decision making, the occurrence of sudden accidentsis avoided, and safe operation of a power grid is ensured.

Description

technical field [0001] The invention relates to the technical field of state safety detection of high-voltage substation equipment, in particular to a system and method for comprehensive analysis and defect prediction of transformer oil chromatographic data. Background technique [0002] As an important power transmission and transformation equipment, the power transformer's working reliability is directly related to the safe operation of the entire power system. Once a power failure occurs, it will cause huge economic losses. Since the 1950s, transformer online monitoring technology has received extensive attention from the power sector and scholars from various countries. Among them, the dissolved gas analysis method in transformer oil is very effective for judging chronic local latent defects because it can continuously monitor the operating status of the transformer and provide valuable information for diagnosis and prediction. A large amount of real-time online monitor...

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Problems solved by technology

[0004] In view of this, the present invention proposes a system and method for comprehensive analysis and defect prediction of transformer oil chromatographic data, which solves the problem that when analyzing massive online monitoring data of transformer oil chromatographic data, if the identification and analysis of abnormal data is performed manually, the work efficiency is not only low Low, and it may not be possible to detect hidden dangers of transformer failures in time

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