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Zone area power failure analyzing method based on common transformer and analysis of big data acquired by users

An analysis method and big data technology, applied in the field of power outage analysis, can solve problems such as interference in power outage analysis, wrong time of power outage events, loss of power outage alarms, etc., to achieve rapid repair and restoration of power supply, guarantee people's production and living electricity, and reduce power outage time Effect

Active Publication Date: 2015-03-11
STATE GRID CORP OF CHINA +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the past, power outages of distribution transformers mainly depended on users complaining to the power department after the power outage, and the confirmation could only be confirmed after the emergency repair personnel arrived at the distribution station area. This kind of passive emergency repair not only takes a long time to recover, but also has poor user satisfaction.
At present, the more advanced method is to report power outage events through the public transformer terminal, but as the battery of the terminal ages, when the power outage occurs in the station area, the terminal does not have enough battery support to send alarms, resulting in serious loss of power outage alarms and no timely notification; the terminal clock The time of the power outage event uploaded is wrong due to the loss; the terminal itself causes repeated reporting of power outage events, which interferes with normal power outage analysis

Method used

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  • Zone area power failure analyzing method based on common transformer and analysis of big data acquired by users
  • Zone area power failure analyzing method based on common transformer and analysis of big data acquired by users
  • Zone area power failure analyzing method based on common transformer and analysis of big data acquired by users

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Embodiment Construction

[0048] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0049] The present invention includes a processing method for receiving a power failure alarm, a processing method for receiving a power recovery alarm, a processing method for a power failure alarm without a power recovery alarm, and a processing method for no power failure alarm and no power recovery alarm;

[0050] like figure 1 As shown, the processing method for receiving a power failure alarm includes the following steps:

[0051] 11) Collect power outage events of public transformer terminals;

[0052] 12) Eliminate repeated power outage event alarms;

[0053] 13) Eliminate power failure alarms for known power failures;

[0054] 14) Determine whether the terminal clock is correct, if the clock is wrong, correct the time of the power failure event;

[0055] 15) Determine whether there is a backlog of messages, if there is a...

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Abstract

The invention provides a zone area power failure analyzing method based on a common transformer and analysis of big data acquired by users, and relates to a power failure analyzing method. At present, blackout accidents fail to report easily and are identified wrongly. The zone area power failure analyzing method comprises the following steps of processing power failure alarming; processing power recovery alarming; processing an event that power failure alarming exists while power recovery alarming does not exist; and processing an event that both power failure alarming and power recovery alarming do not exist. According to the technical scheme, on the basis of a digital communication technology and a power failure intelligent analysis warning technology, a mobile communication network serves as a carrier, the possibility of power failure of a zone area can be accurately determined with the aid of data acquired by a terminal of the common transformer in real time and voltage data acquired by an intelligent electric meter and by a zone area power failure analyzing algorithm which is designed according to years of running experiments of a scene and is based on the common transformer and analysis of the big data acquired by the users, whether a blackout accident occurs or not is judged by measuring an electric meter under the zone area, related personnel are notified by various methods such as a short message service method in time, and the purposes of controlling power failure information in time, quickly repairing to recover power supplying, shortening power failure time and guaranteeing power consumption of people in production and daily life are achieved.

Description

technical field [0001] The invention relates to a method for analyzing power outages, in particular to a method for analyzing power outages in station areas based on analysis of public transformers and large data collected by users. Background technique [0002] The distribution station area is the intermediate link connecting the high and low voltage power grids. The distribution transformer is the source of electric energy for the low-voltage power users. Once the power failure occurs in the distribution transformer, it will directly cause the users in the station area to be unable to use electricity. Therefore, it is particularly important to strengthen the monitoring of power outage events in the distribution station area, rush to the scene for emergency repairs immediately after the power outage of the distribution transformer, and shorten the power outage time of users as much as possible. In the past, power outages of distribution transformers mainly relied on users t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00G01R31/02
CPCH02J3/00H02J3/003
Inventor 王伟峰李熊陈清泰郑松松刘颖
Owner STATE GRID CORP OF CHINA