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Extreme event prediction method, device, equipment, medium and computer program product

A computer program and prediction method technology, applied in the field of power system, can solve problems such as the influence of power system operation, and achieve the effect of improving accuracy

Active Publication Date: 2022-01-04
GUANGZHOU BUREAU CSG EHV POWER TRANSMISSION
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

Once the above extreme events occur, they will have an impact on the operation of the power system

Method used

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  • Extreme event prediction method, device, equipment, medium and computer program product
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Embodiment Construction

[0051] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0052] During the operation of the power system, extreme events such as short circuit of the power system and abnormal oscillation amplitude in the power system will occur. Extreme events will affect the stable operation of the power system and cause a lot of losses, so the prediction of extreme events is particularly important.

[0053] Therefore, there is an urgent need for a method that can predict the occurrence of extreme events so that preventive measures can be taken in advance.

[0054] In view of this, an embodiment of the present application provides a method fo...

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Abstract

The invention relates to an extreme event prediction method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring historical electrical parameters of a power system in a first historical time period; obtaining the Gibbs measure of the historical electrical parameters; inputting the Gibbs measure into a pre-trained event prediction model to obtain prediction information output by the event prediction model, the prediction information being used for indicating whether an extreme event will occur in the power system at a target future moment after the first historical time period, wherein the event prediction model comprises a plurality of neural network layers constructed based on an XGBoost algorithm and an extended convolutional network used for linking the neural network layers. By adopting the method, the extreme event can be predicted.

Description

technical field [0001] The present application relates to the field of power system technology, and in particular to an extreme event prediction method, device, computer equipment, storage medium and computer program product. Background technique [0002] During the operation of the power system, extreme events such as short circuit of the power system and abnormal oscillation amplitude in the power system will occur. Once the above extreme events occur, they will affect the operation of the power system. [0003] Therefore, there is an urgent need for a method to predict the occurrence of extreme events. Contents of the invention [0004] Based on this, it is necessary to provide an extreme event prediction method, device, computer equipment, computer readable storage medium and computer program product capable of predicting the occurrence of extreme events in order to address the above technical problems. [0005] In the first aspect, the present application provides a...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06G06N3/04G06N3/08
CPCG06Q10/04G06Q50/06G06N3/08G06N3/045
Inventor 杨洋石延辉张海凤袁海廖毅洪乐洲杨阳吴梦凡吴桐张朝斌张博黄家豪李凯协赖皓黄锴廖名洋张卓杰姚言超夏杰李金安秦金锋许浩强王蒙叶志良袁振峰黄兆严伟蔡斌关就廖聪李莉赵晓杰孔玮琦王越章
Owner GUANGZHOU BUREAU CSG EHV POWER TRANSMISSION
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