Risk early warning method for electrical equipment of mountain transformer substation

A technology of electrical equipment and risk early warning, which is applied in the electric power field, can solve problems such as threats to the operation safety of electrical equipment, hidden safety risks, etc., and achieve the effect of cutting machine processing, improving prediction accuracy, and realizing risk early warning

Inactive Publication Date: 2019-10-22
KUNMING UNIV OF SCI & TECH
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Problems solved by technology

[0002] At present, many substations in our country are forced to be built in mountainous areas. There are many hidden safety risks in mountainous substations, such as forest fires, storms, mountain torrents, thunderstorms, heavy snow, earthquakes and other geological disasters. The harsh geological environment directly threatens the operation safety of electrical equipment.

Method used

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  • Risk early warning method for electrical equipment of mountain transformer substation
  • Risk early warning method for electrical equipment of mountain transformer substation

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Embodiment 1

[0014] Embodiment 1: as figure 1 As shown, a risk early warning method for electrical equipment in a mountainous substation, the steps of the method are as follows:

[0015] S1. Collect the temperature of key points of electrical equipment, the ambient temperature of the transformer or the load value of the equipment (each type of data is processed according to the following steps);

[0016] One sampling point every 30 minutes, the collected data is a matrix of 48 units for n days;

[0017] S2. Judging the collected data as an abnormal number: if it satisfies then use Perform data correction; otherwise, do not process; get If it is normal data, the data in the matrix is ​​X n,i ,otherwise,

[0018] Among them, X n,i is the data of the i-th sampling point on the nth day, is the mean value of the i-th sampling point on n days, and the variance of the i-th sampling point on n days is ε is the threshold value, usually 1 to 1.5; is the corrected data of the i-th ...

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Abstract

The invention discloses a risk early warning method for electrical equipment of a mountain transformer substation, and belongs to the technical field of electric power. According to the invention, abnormal data is corrected; meanwhile, normalization is carried out to realize dimensionless processing, and the processed data is processed by adopting an LSTM algorithm so that prediction precision canbe effectively enhanced, a manager is enabled to acquire more intuitive and clear equipment temperature change conditions, prediction can be realized, state switching can be carried out through a finite state machine, and thus risk early warning and generator tripping processing can be realized.

Description

technical field [0001] The invention relates to a risk early warning method for electrical equipment of a mountain substation, and belongs to the technical field of electric power. Background technique [0002] At present, many substations in our country are forced to be built in mountainous areas. There are many hidden safety risks in mountainous substations, such as forest fires, storms, mountain torrents, thunderstorms, heavy snow, earthquakes and other geological disasters. The harsh geological environment directly threatens the operation safety of electrical equipment. Electrical equipment is disturbed by various external factors during operation, and the insulating materials are gradually degraded. If a fault occurs, it will cause a power outage in some or even the entire area. Therefore, it is necessary to manage real-time online monitoring of mountain substations; use various early warning and monitoring technologies to monitor various equipment in mountain substatio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06G06N3/04G06N3/08
CPCG06Q10/0635G06Q50/06G06N3/08G06N3/045
Inventor 王洪亮周于尧刘志坚罗灵琳孙华利王一妃晏永飞徐慧余进王雁红王旭辉陈新源赵雨梦余莎涂志章王畅
Owner KUNMING UNIV OF SCI & TECH
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