Method for detecting transformer state of electric power system equipment

Abstract

The invention discloses a method for detecting a transformer state of electric power system equipment, and is detected through the steps of: 1. importing crude oil chromatographic data and cleaning the crude oil chromatographic data, removing incomplete data or storage error data in the crude oil chromatographic data, and reserving complete and accurate oil chromatographic data after cleaning; 2. importing the cleaned oil chromatographic data to a target database through an intermediate database; 3. establishing a comprehensive transformer fault diagnosis model which combines oil chromatographic data fault diagnosis, three-ratio method fault diagnosis and fault database diagnosis to judge a transformer fault, thereby obtaining corresponding three diagnosis results; and 4. comparing the three diagnosis results that are obtained, and adopting the principle that the minority is subordinate to the majority to judge a final fault type, thereby obtaining the transformer state of electric power system equipment. The method for detecting the transformer state of the electric power system equipment has the beneficial effects that comprehensive diagnosis of the transformer can be realized, and the accuracy rate of fault diagnosis can also be improved.

Description

technical field [0001] The invention belongs to the detection field of power system equipment, and in particular relates to a detection method for the transformer state of power system equipment. Background technique [0002] At present, the power system industry is vigorously carrying out research on transformer intelligent diagnosis and visual management and control. By compiling online monitoring, fault diagnosis and other procedures and specifications, the purpose is to guide the development of transformer monitoring and diagnosis work, reduce the workload of transformer on-site operation and maintenance, and improve the health status of equipment. Controllable and under control. [0003] Although some technicians have begun to study the research on transformer intelligent diagnosis and visual management and control, it still poses certain challenges to the development of transformer status monitoring. The specific analysis is as follows: [0004] The existing conditio...

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Problems solved by technology

[0005] The existence of the above problems is mainly due to the lack of a dedicated transformer condition monitoring intelligent evaluation diagnosis and management and control platform construction, providing professional training for personnel, leading the research and standardization of condition monitoring technology, as well as new technology evaluation, demonstration and promotion

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