Transformer fault detection system applying artificial intelligence to smart power grid

A technology for transformer faults and smart grids, applied in information technology support systems, electrical components, circuit devices, etc., can solve problems that cannot meet the needs of large-scale collection of real-time data for power grids

Pending Publication Date: 2022-01-07
赵茵茵
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AI Technical Summary

Problems solved by technology

[0002] The rapid popularization of smart terminals promotes the continuous development of smart grids in the direction of digitalization, informatizatio

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  • Transformer fault detection system applying artificial intelligence to smart power grid

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Embodiment Construction

[0037]A clear and complete description will be made below in conjunction with technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0038] see figure 1 , in one embodiment, the transformer fault detection system applying artificial intelligence to the smart grid may include: a preprocessing server, a data analysis server, a graph model building server and an anomaly detection server, wherein each server has a communication connection;

[0039] The preprocessing server preprocesses the abnormal voltage and current data and inputs it into the abnormal frequency model to output the abnormal characteristic frequency;

[0040] The data analysis serve...

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Abstract

The invention relates to a transformer fault detection system applying artificial intelligence to a smart power grid, which comprises a preprocessing server, a data analysis server, a graph model construction server and an anomaly detection server, wherein the servers are in communication connection. The preprocessing server preprocesses the abnormal voltage and current data and inputs the abnormal voltage and current data into an abnormal frequency model to output an abnormal characteristic frequency. The data analysis server obtains voltage and current frequency domain data based on the voltage and current data so as to construct a current and voltage spectrogram. The graph model construction server establishes a voltage and current sequence graph model by taking each abnormal characteristic frequency of the current and voltage spectrogram of each transformer in each period as a vertex and taking a difference value of amplitudes of the abnormal characteristic frequencies as a weight coefficient. The anomaly detection server carries out graph aggregation and graph decomposition on all the voltage and current sequence graph models to generate an anomaly detection graph model so as to carry out real-time monitoring and anomaly detection on each transformer.

Description

technical field [0001] The invention relates to the fields of artificial intelligence and smart grids, in particular to a transformer fault detection system applying artificial intelligence to smart grids. Background technique [0002] The rapid popularization of smart terminals promotes the continuous development of smart grid in the direction of digitization, informatization and intelligence. The traditional way of manually collecting power grid data is far from meeting the needs of large-scale collection of real-time data in the power grid. An important research direction in today's academia and industry is to improve the online analysis capability of power grid characteristics, realize the overall control of the power grid operation status and optimize the control of system resources. [0003] The transformer is the key equipment in the power supply system. Its main function is to step up or step down the voltage to facilitate the reasonable transmission, distribution an...

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Application Information

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IPC IPC(8): H02J13/00G06N3/04G06N3/08
CPCH02J13/00002H02J13/00001H02J13/00032G06N3/08G06N3/044Y04S10/40
Inventor 赵茵茵
Owner 赵茵茵
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