Power failure event quasi-real-time monitoring method and system based on edge calculation

An edge computing, quasi-real-time technology, applied to electrical components, measuring electronics, measuring devices, etc., can solve problems such as false positives and negative negatives, and low computing efficiency, so as to reduce computing pressure, improve real-time performance, and reduce false alarm rates and the effect of false negative rate

Pending Publication Date: 2022-02-18
YUNNAN POWER GRID
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Moreover, all events related to power outages are analyzed and judged by the master station, and there are problems such as low calculation efficiency, false positives and false negatives, etc.

Method used

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  • Power failure event quasi-real-time monitoring method and system based on edge calculation
  • Power failure event quasi-real-time monitoring method and system based on edge calculation
  • Power failure event quasi-real-time monitoring method and system based on edge calculation

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] A quasi-real-time monitoring method for power outage events based on edge computing, including the following steps:

[0041] Step S1: Data collection of smart energy meters in the station area:

[0042] Periodically collect the voltage data of the smart electric energy meters in the station area according to the time interval, and use the collected voltage data for analysis, and eliminate the data of the smart electric energy meters in the non-local area

[0043] Step S2: Intelligent identification of power outage branch lines or users:

[0044] The smart metering terminal on the edge side receives the active power outage reporting event of the smart energy meter in real time, and collects the voltage data of the smart energy meter in real time after data analysis; if the voltage data returned by the smart energy meter cannot be received within a certain period of time or the voltage data is lower than the limit , it is judged that the household has a power outage;

...

Embodiment 2

[0049] A quasi-real-time monitoring method for power outage events based on edge computing, including the following steps:

[0050] Step S1: Data collection of smart energy meters under the station area:

[0051]Periodically collect the voltage data of the smart electric energy meters in the station area according to the time interval, and use the collected voltage data for analysis, and eliminate the data of the smart electric energy meter in the non-local area;

[0052] Step S2: Intelligent identification of power outage branch lines or users:

[0053] The smart metering terminal on the edge side receives the active power outage reporting event of the smart energy meter in real time, and collects the voltage data of the smart energy meter in real time after data analysis; if the voltage data returned by the smart energy meter cannot be received within a certain period of time or the voltage data is lower than the limit , it is judged that the household has a power outage; ...

Embodiment 3

[0063] The quasi-real-time monitoring method for blackout events based on edge computing is characterized in that it comprises the following steps:

[0064] Step S1: Data collection of smart energy meters in the station area:

[0065] Periodically collect the voltage data of the smart energy meters in the station area according to the time interval, and use the time and space of the voltage data to eliminate the data of the smart energy meters in the non-local area;

[0066] (1) The edge-side smart metering terminal periodically collects smart voltage data under the station area;

[0067] (2) Through the collected voltage data, analyze the voltage data collected by the smart energy meter in the station area within a period of time (15s), and the voltage change trend in the same station area should be the same;

[0068] (3) Dynamically judge the electric energy meters under the station area, and eliminate the data of the smart electric energy meter in the non-local area;

[0...

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Abstract

The invention relates to a power failure event quasi-real-time monitoring method and system based on edge calculation, and belongs to the technical field of alarm monitoring. The method comprises the following steps of: acquiring data of intelligent electric energy meters in a transformer area; intelligently identifying a power failure branch line or a user; and analyzing and comprehensively judging the alarm of the metering master station. Customer power failure events are collected and analyzed based on the edge computing technology, power failure alarm data are comprehensively verified through operation data of the intelligent metering terminal on the edge side and uploaded to the metering automation master station, the metering automation master station carries out multi-dimensional comprehensive analysis and judgment, and therefore the accuracy of power grid power failure recognition is improved, and the power failure recognition efficiency is improved. The requirements of dispatching power distribution network fault monitoring and first-aid repair and power supply quality reliability are met.

Description

technical field [0001] The invention belongs to the technical field of alarm monitoring, and in particular relates to a quasi-real-time monitoring method and system for power outage events based on edge computing. Background technique [0002] At present, the existing user power outage modeling technology is affected by some factors, mainly including the uncertain relationship between affected users, terminal performance quality, communication quality of collection points, power outage data supplementary collection mechanism, and power outage event judgment rules, etc. Moreover, all power outage-related events are analyzed and judged by the master station, and there are problems such as low calculation efficiency, false positives, and missed negatives. In view of the above phenomenon, an effective model algorithm is needed to migrate the data calculation and analysis tasks from the main station to the terminal equipment on the edge side, effectively reduce the calculation ta...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/00G01R19/165H02J3/00
CPCG01R31/00G01R19/165H02J3/0012
Inventor 赵静林聪余恒洁何兆磊朱梦梦王浩沈鑫
Owner YUNNAN POWER GRID
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