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Low-voltage power network topology big data identification system and method based on load sudden change

A low-voltage power grid and load mutation technology, applied in data processing applications, information technology support systems, instruments, etc., can solve the problems of power supply network topology confusion, time-consuming, high cost, and low efficiency, so as to increase identification reliability, The effect of supporting operation and maintenance work

Active Publication Date: 2018-12-18
STATE GRID CORP OF CHINA +2
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  • Claims
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AI Technical Summary

Problems solved by technology

[0002] For a long time, due to the continuous increase of power load and new users, the topological structure of the power supply network in the distribution station area has been chaotic, and the topological relationship of the distribution transformer, the first-level branch box, the second-level branch box, and the electric energy meter box has often changed. ; Lines buried, lines crossed, construction drawings lost, etc. also occur from time to time; problems such as burning caused by severe overloading of the distribution transformer load rate, and damage to the distribution transformer caused by severe unbalanced three-phase loads will also occur.
Therefore, it is difficult for the staff to grasp the real operation of the power distribution area, and it is necessary to manually check and analyze item by item, which is inefficient, time-consuming and costly; The company's line loss management, fault report and repair, and active operation and maintenance have brought many difficulties

Method used

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  • Low-voltage power network topology big data identification system and method based on load sudden change
  • Low-voltage power network topology big data identification system and method based on load sudden change
  • Low-voltage power network topology big data identification system and method based on load sudden change

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Embodiment 1

[0030] This embodiment provides a low-voltage power grid topology big data identification system based on sudden load changes, such as Figure 1-2 Shown: Take 1 distribution transformer as an example, including M primary branch boxes connected in parallel to the outlet end of the distribution transformer, N secondary branch boxes connected in parallel to the outlet end of each primary branch box, and parallel to each K electric energy meter boxes at the outlet end of the secondary branch box; this embodiment also includes a distribution transformer monitoring terminal installed at the outlet of the distribution transformer, a primary monitoring terminal installed at the inlet of each primary branch box, installation A secondary monitoring terminal installed at the inlet of each secondary branch box and a meter box monitoring terminal installed at the inlet of each electric energy meter box.

[0031] The distribution transformer monitoring terminal, the primary monitoring terminal...

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Abstract

The invention relates to a low-voltage power network topology big data identification system and method based on load sudden change, which comprises a distribution transformer, M primary branch boxesconnected in parallel at the outgoing end of the distribution transformer, N secondary branch boxes connected in parallel at the outgoing end of the primary branch boxes and K electric energy meter boxes connected in parallel at the outgoing end of the secondary branch boxes. The utility model also comprises a distribution transformer monitoring terminal installed at the outlet of a distribution transformer, a primary monitoring terminal installed at the inlet of a primary branch box, a secondary monitoring terminal installed at the inlet of a secondary branch box and a meter box monitoring terminal installed at the inlet of an electric energy meter box. The invention is based on the load sudden change sensing ability of the distribution station area, adopts the big data analysis technology, automatically identifies and maintains the topological structure relationship of the distribution station area, and improves the efficiency of operation and maintenance work such as user file management, line loss management, fault overhaul and the like of the electric power company.

Description

Technical field [0001] The invention relates to a large data identification system and method for a topological structure of a power distribution station area based on a sudden load change, and belongs to the technical field of power information automation. Background technique [0002] For a long time, due to the continuous increase of electricity load and new users, the topological structure of the power supply network in the distribution station area is chaotic, and the topological relationship of the distribution transformer, the first-level branch box, the second-level branch box, and the electric energy meter box often changes Circumstances such as buried lines, crossing lines, loss of construction drawings, etc. also occur from time to time; problems such as burnout caused by serious overload of the distribution transformer load rate, and damage to the distribution transformer caused by serious imbalance of three-phase load will also occur. Therefore, it is difficult for t...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q10/00G06Q50/06
CPCG06Q10/0639G06Q10/20G06Q50/06Y04S10/50
Inventor 范洁李新家陈霄赵勇易永仙尹飞徐述李敏李平刘述波赵芮
Owner STATE GRID CORP OF CHINA
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