Distribution network state maintenance auxiliary system and method based on distributed learning

A condition-based maintenance and auxiliary system technology, applied in data processing applications, instruments, calculations, etc., can solve problems such as increased maintenance workload, frequent maintenance, and reduced equipment reliability, so as to achieve efficient and accurate evaluation results of distribution network equipment operation status. Reduction of power outage time, effect of reducing power outage time

Inactive Publication Date: 2017-05-24
STATE GRID ZHEJIANG ELECTRIC POWER CO LTD SHAOXING POWER SUPPLY CO +3
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the current regular maintenance has the phenomenon of frequent temporary maintenance, insufficient maintenance or excessive maintenance, and blind maintenance, which lead to a large number of unnecessary power outages, increase the workload of maintenance, waste maintenance costs and reduce equipment reliability.

Method used

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  • Distribution network state maintenance auxiliary system and method based on distributed learning
  • Distribution network state maintenance auxiliary system and method based on distributed learning
  • Distribution network state maintenance auxiliary system and method based on distributed learning

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Experimental program
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Effect test

Embodiment 1

[0030] Such as figure 1 As shown, the distributed learning-based distribution network status maintenance assistance system includes a data acquisition module 100 , a data association module 200 , a distributed model parameter determination module 300 and a distribution network equipment operation status evaluation module 400 . in:

[0031] The data acquisition module 100 is used to acquire specific data information of the operating state data of the distribution network equipment;

[0032] The data association module 200 includes an association analysis unit 210 and an association information cluster generation unit 220 . Wherein, the association analysis unit 210 is used to perform association analysis on the operation state data of the distribution network equipment to obtain the distribution network equipment index association network; the association information cluster generation unit 220 is used to associate the network according to the distribution network equipment in...

Embodiment 2

[0044] Such as image 3 As shown, the distribution network status maintenance assistance system based on distributed learning described in this embodiment further includes a registration module 600, a login module 500, and a display module 700 on the basis of Embodiment 1, wherein the login module 500 uses To obtain the specific data information of the operation state data of the distribution network equipment, and judge whether the operation state data of the distribution network equipment exists in the database, and if so, activate the data acquisition module 100 . The registration module 600 is used to obtain specific data information of the operating state data of the distribution network equipment, and add the data information to the database. The display module 700 is used to display the evaluation result of the operation state of the distribution network equipment.

[0045] Such as Figure 4 As shown, an auxiliary method for distribution network condition maintenance ...

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Abstract

The invention discloses a distribution network state maintenance auxiliary system and a distribution network state maintenance auxiliary method based on distributed learning. The distribution network state maintenance auxiliary system comprises a data acquisition module, a data association module, a distributed model parameter determination module and a distribution network equipment operation state evaluation module. The distribution network state maintenance auxiliary system just needs to obtain power distribution network equipment operating data by means of the data acquisition module, obtain power distribution network equipment operating state index association characteristics by means of the data association module, obtain a power distribution network equipment operating data and state evaluation model by means of the distributed model parameter determination module and finally obtain a power distribution network equipment operating state evaluation result by means of the distribution network equipment operation state evaluation module, does not need manual calculation and analysis, and makes the obtained power distribution network equipment operating state evaluation result more efficient and reliable.

Description

technical field [0001] The invention relates to a distribution network state maintenance auxiliary system and method based on distributed learning, belonging to the field of distribution network equipment. Background technique [0002] With the rapid development of the power grid, the scale of the power grid is becoming larger and larger, and the number of distribution network equipment is increasing. The maintenance of distribution network equipment is indispensable to ensure the safe operation of power grid equipment. However, the current regular maintenance has the phenomenon of frequent temporary maintenance, insufficient maintenance or excessive maintenance, blind maintenance and other phenomena, which lead to a large number of unnecessary power outages, increase the workload of maintenance, waste maintenance costs and reduce equipment reliability. [0003] For this reason, the present inventor has conducted research on this, and specially developed a distribution netwo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/0639G06Q50/06
Inventor 单林森朱江峰俞键黄建杨
Owner STATE GRID ZHEJIANG ELECTRIC POWER CO LTD SHAOXING POWER SUPPLY CO
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