Power system fault diagnosis method and device based on big data and related equipment thereof

A technology for power system and fault diagnosis, applied in the direction of fault location, etc., can solve the problems of low recognition accuracy, poor learning ability, poor portability, etc., to achieve the effect of improving robustness, improving accuracy, and avoiding limitations

Pending Publication Date: 2022-07-01
清科优能(深圳)技术有限公司
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Problems solved by technology

[0004] The purpose of the embodiments of the present application is to propose a big data-based power system fault diagnosis method, device and related equipment to solve the problems of low recognition accuracy, poor portability and learning ability in the existing power system through manual fault recognition. poor technical problem

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  • Power system fault diagnosis method and device based on big data and related equipment thereof
  • Power system fault diagnosis method and device based on big data and related equipment thereof
  • Power system fault diagnosis method and device based on big data and related equipment thereof

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Embodiment Construction

[0075] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field of this application; the terms used herein in the specification of the application are for the purpose of describing specific embodiments only It is not intended to limit the application; the terms "comprising" and "having" and any variations thereof in the description and claims of this application and the above description of the drawings are intended to cover non-exclusive inclusion. The terms "first", "second" and the like in the description and claims of the present application or the above drawings are used to distinguish different objects, rather than to describe a specific order.

[0076] Reference herein to an "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present application. T...

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Abstract

The invention discloses an electric power system fault diagnosis method and device based on big data and related equipment thereof, and belongs to the technical field of intelligent electric power systems. According to the method, the fault fluctuation data is collected, the fault fluctuation database is constructed, the fault data is subjected to feature analysis, the fault feature library is extracted and constructed, then the corresponding features of the to-be-recognized recording data are extracted, finally the variable coefficient is utilized to describe the load fluctuation intensity, and the construction similarity calculation method for constructing the comprehensive load fluctuation intensity is provided. And calculating the similarity between the to-be-identified recording data and the fault features in the fault feature library according to the constructed similarity calculation method, sorting the to-be-identified recording data and the fault features, and obtaining a fault identification result of the to-be-identified recording data according to the similarity sorting. The big data technology and the feature engineering are introduced into the fault diagnosis process of the power system, the potential value of historical data can be fully utilized, the method has the advantages of being high in robustness and adaptability and the like, and meanwhile the fault recognition precision can be improved.

Description

technical field [0001] The present invention relates to the technical field of intelligent power systems, in particular to a method, device and related equipment for fault diagnosis of a power system based on big data. Background technique [0002] As a key component of power generation, transmission and distribution, the power system is indispensable in people's daily life. The safe and stable operation of the power system is the premise for the power to play its role. [0003] At present, there are many research topics on the security of power systems, but the main technical idea is to build expert systems and traditional fault identification methods, such as positive and negative sequence decomposition, which contain a large number of expert-level knowledge and knowledge in a certain field. Experience, able to use the knowledge and problem-solving methods of human experts to deal with problems in the field, does not depend on a large amount of data, is highly interpretabl...

Claims

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Application Information

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IPC IPC(8): G01R31/08
CPCG01R31/08
Inventor 周少雄沈国安汪大明
Owner 清科优能(深圳)技术有限公司
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