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Active power prediction method and device for power transmission and transformation device based on SVM algorithm

A technology of power transmission and transformation equipment and active power, which is applied in the field of active power prediction of power transmission and transformation equipment, and can solve the problem of high prediction cost

Inactive Publication Date: 2017-07-14
BEIJING UNIV OF POSTS & TELECOMM
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

That is to say, this kind of prediction method requires very high professional level of technicians, which makes the prediction cost very high

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  • Active power prediction method and device for power transmission and transformation device based on SVM algorithm
  • Active power prediction method and device for power transmission and transformation device based on SVM algorithm
  • Active power prediction method and device for power transmission and transformation device based on SVM algorithm

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Embodiment Construction

[0084] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. 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.

[0085] In order to solve the problems in the prior art, the embodiments of the present invention provide a method and device for predicting active power of power transmission and transformation equipment based on the SVM algorithm.

[0086] The method for predicting the active power of power transmission and transformation equipment based on the SVM algorithm provided by the embodiment of the present invention is firstly introduced below.

[0087] It can be un...

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Abstract

The embodiment of the invention provides an active power prediction method and device for a power transmission and transformation device based on an SVM algorithm. The method comprises the steps that a first eigenvector is acquired, wherein elements in the first eigenvector comprises a first preset number of first historical active power data which are data which meet a preset condition in historical active power data corresponding to a target power transmission and transformation device; and the first eigenvector is input to a pre-built target support vector machine SVM model to acquire the active power prediction value of the target power transmission and transformation device at the next time, wherein a preset time interval is between the next time and a first target time, and the first target time is the time closest to the current time in times corresponding to the first preset number of first historical active power data. According to the embodiment of the invention, the active power of the power transmission and transformation device is predicted, and the prediction cost is reduced.

Description

technical field [0001] The invention relates to the field of electric power technology, in particular to a method and device for predicting active power of power transmission and transformation equipment based on an SVM algorithm. Background technique [0002] At present, the power grid has been able to provide users with continuous and stable electric energy, meeting the electricity demand of users in production and life. However, since the active power of the power transmission and transformation equipment (such as a transformer) in the power grid can reflect the power usage of the power transmission and transformation equipment, and the power usage of the power transmission and transformation equipment will have an important impact on the safety and economic operation of the power grid , so people urgently want to predict the active power of power transmission and transformation equipment. [0003] At present, technical personnel are often required to predict the active ...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06G06K9/62
CPCG06Q10/04G06Q50/06G06F18/2411
Inventor 闫丹凤唐晔朱巧上官娜娜吴斌林荣恒赵耀
Owner BEIJING UNIV OF POSTS & TELECOMM
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