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Distribution network fault prediction method and system based on big data

A distribution network fault and prediction method technology, applied in the direction of test/monitoring control system, general control system, electrical test/monitoring, etc., can solve problems such as reducing the failure rate of line equipment, improve power supply reliability, and eliminate line faults Hidden dangers and the effect of reducing the failure rate

Inactive Publication Date: 2019-03-12
STATE GRID TIANJIN ELECTRIC POWER +1
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Problems solved by technology

Thus, reduce the failure rate of line equipment

Method used

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  • Distribution network fault prediction method and system based on big data
  • Distribution network fault prediction method and system based on big data
  • Distribution network fault prediction method and system based on big data

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Embodiment Construction

[0043] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0044] see figure 1 , a distribution network fault prediction method based on big data, including the following steps:

[0045] 1. Analysis of the main influencing factors of distribution network faults. There are many factors leading to distribution network faults, and the main influencing factors are summarized and analyzed in the present invention.

[0046] (1) Equipment itself factors. The probability of failure of the switches, switches, cables and overhead lines on the distribution network line will change to varying degrees with the increase of the operating life, which is an important factor for the failure of th...

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Abstract

The invention discloses a distribution network fault prediction method and system based on big data, and belongs to the technical field of power network safety maintenance. The method comprises the following steps of: S1, acquiring original data, S2, processing the original data by using Tableau software so as to obtain analyzable sample data, wherein the processing comprises data cleaning, data transformation and data integration; S3, analyzing the correlation of the fault influencing factors of the distribution network; S4, building a fault prediction model based on an improved random forestalgorithm; wherein the improved random forest algorithm generates a plurality of classification trees which are combined through modes of voting or arithmetic mean decision. The method achieves the fault prediction of the local distribution network line. And fault early warning information is timely issued to provide targeted line operation and maintenance guidance for power distribution networkoperation and maintenance departments. The hidden trouble of line failure is eliminated in advance, the failure rate of the distribution network is reduced, and the power supply reliability of the distribution network is improved.

Description

technical field [0001] The invention belongs to the technical field of power grid safety maintenance, and in particular relates to a big data-based distribution network fault prediction method and system. Background technique [0002] As we all know, the whole composed of substations of various voltages and transmission and distribution lines in the power system is called the power network, or power grid for short. It includes three units of power transformation, power transmission and power distribution. The task of the power grid is to transmit and distribute electrical energy and to change the voltage. The safe and normal operation of the power grid is the key factor to ensure the normal production and life of manpower. In order to ensure the normal and safe operation of the power grid, it is necessary to configure some emergency repair stations. [0003] The distribution network directly supplies power to various electricity loads in cities and rural areas, and is an i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B23/02
CPCG05B23/0262G05B2219/24065
Inventor 王钰梁刚李海科马占军田圳任肖久梁伟戚艳陈文福韩晨曦杨要中赵玲玲郭丰瑞王梓维梁程潘海泉王琳张超雄田中亮蔚鑫栋党旭鑫徐坤虎挺昊
Owner STATE GRID TIANJIN ELECTRIC POWER
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