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A distribution network fault emergency repair prediction analysis system and method

A technology of predictive analysis and failure, applied in the field of distribution network fault repair prediction system, can solve problems such as stay

Active Publication Date: 2018-12-14
SHANDONG LUNENG SOFTWARE TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, at present, most power companies still have many deficiencies in power supply services. Among them, the distribution network emergency repair, as a main power business that affects the user's electricity experience, still stays in the traditional passive emergency repair mode with the user as the main initiator

Method used

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  • A distribution network fault emergency repair prediction analysis system and method
  • A distribution network fault emergency repair prediction analysis system and method
  • A distribution network fault emergency repair prediction analysis system and method

Examples

Experimental program
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Embodiment 1

[0047] Such as figure 1 As shown, it is a schematic structural diagram of a distribution network fault emergency repair prediction and analysis system provided by the present invention. The system includes: a server, a data extraction unit, a memory, a processor and an application program server connected in sequence, and the processor is also connected to the data processing unit at the same time;

[0048] Among them, the server is used to store the original data, and the original data includes the repair history data of each unit, weather data and basic equipment information;

[0049] The data extraction unit is used to extract sample data from the raw data of the server according to the processor control instruction according to the control of the processor, and send it to the memory. The sample data includes specified types of historical data, real-time weather data and real-time status information of equipment;

[0050] The memory is used for receiving and caching the sa...

Embodiment 2

[0054] Corresponding to Embodiment 1, the present invention provides a method for predicting and analyzing distribution network fault emergency repair, and the steps are as follows.

[0055] (1) Obtain sample data from the server. For example, from January 1, 2015 to March 18, 2015, December 07, 2015 to March 7, 2016, and November 27, 2016 to 2017 are obtained from many raw data of servers in the actual production system Sample data on February 27, 2019.

[0056] (2) Eliminate the bad sample data in the sample data, and then classify and count the eliminated sample data. Due to problems such as missing data and non-compliant data in the sample data, the sample data needs to be further cleaned, and then the sample data is classified and counted. After excluding bad sample data, the total number is 357,862.

[0057](3) The sample data were visualized and analyzed by Matlab software. In the stage of researching data distribution and characteristics, we tried to analyze the dat...

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Abstract

The invention discloses a distribution network fault emergency repair prediction analysis system and method, wherein the system comprises a server, a data extraction unit, a memory, a processor and anapplication program server which are connected in turn, and the processor is also connected with a data processing unit at the same time. The invention utilizes large data mining technology; based onthe historical data of power failure repair the special period, weather, temperature, equipment aging and load rate are used as disturbance factors to accurately assess power network faults by rolling basic value method with disturbance characteristics, accurately predict distribution network emergency repair high-risk areas, find weak links in power network system in advance, and provide reference for power network to take corresponding measures in advance to effectively reduce distribution network failure rate, and make preparation for emergency repair beforehand.

Description

technical field [0001] The invention relates to the field of distribution network fault emergency repair prediction based on big data mining technology, in particular to a distribution network fault emergency repair prediction system and method. Background technique [0002] With the continuous improvement of people's demand for electricity and the rapid development of society, the requirements for the quality of power supply services of power supply companies are getting higher and higher. However, at present, most power companies still have many deficiencies in power supply services. Among them, the distribution network emergency repair, as a main power business that affects the user's electricity experience, still stays in the traditional passive emergency repair mode with the user as the main initiator . How to discover weak links in the power grid system in advance, accurately predict the high-risk areas of distribution network emergency repairs in advance, take corres...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/00G06Q50/06
CPCG06Q10/04G06Q10/20G06Q50/06Y04S10/50
Inventor 刁柏青刘远龙张伟昌史双双于善海李剑李东张文山封国栋
Owner SHANDONG LUNENG SOFTWARE TECH
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