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Power distribution network power supply reliability prediction method based on big data correlation analysis

A technology of correlation analysis and prediction method, applied in the field of distribution network power supply reliability prediction based on big data correlation analysis, can solve problems such as inapplicability of big data processing, improve accuracy and generalization ability, effectively process, The effect of improving accuracy

Inactive Publication Date: 2017-06-09
STATE GRID CORP OF CHINA +2
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AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to overcome the problem that the traditional power supply reliability evaluation method in the prior art cannot be applied to big data processing, and to provide an accurate and fast distribution network power supply reliability prediction method based on big data correlation analysis

Method used

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  • Power distribution network power supply reliability prediction method based on big data correlation analysis
  • Power distribution network power supply reliability prediction method based on big data correlation analysis
  • Power distribution network power supply reliability prediction method based on big data correlation analysis

Examples

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Embodiment 1

[0064] see figure 2 , a distribution network power supply reliability prediction method based on big data correlation analysis, followed by the following steps:

[0065] 1. Collect as much measurement data and operational data as possible from the relevant departments of the electric power industry, and use the python language and third-party libraries such as html5lib and beautifulSoup4 to write web crawler programs to collect external data of electric power enterprises from the Internet;

[0066] 2. Classify the above data according to all conditional attributes and decision attributes of power supply reliability rate RS-3 to form a knowledge base, see the following table for details:

[0067]

[0068]

[0069] 3. Divide the samples in the above knowledge base according to all conditional attributes to obtain the overall indistinguishable relationship U / R. For example, divide according to the humidity in the weather forecast system to obtain an indistinguishable relat...

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Abstract

The invention discloses a power distribution network power supply reliability prediction method based on big data correlation analysis. The power distribution network power supply reliability prediction method comprises steps that a rough set theory is used to mine condition factors strongly related to reliability of a power distribution network from acquired power distribution network big data, and training learning is carried out by using an established GA-BP neural network to generate a prediction model according to the extracted condition factors and historical statistic data of regional power distribution network reliability indexes. The accurate and fast evaluation of the power distribution network power supply reliability in a target year is realized.

Description

technical field [0001] The invention belongs to the technical field of power system distribution network, and in particular relates to a method for predicting power supply reliability of distribution network based on big data correlation analysis. Background technique [0002] Power supply reliability refers to the ability of the power supply system to continuously supply power to users. Once the power supply is interrupted, it will not only cause huge economic losses, but also seriously affect people's lives and social stability. According to the incomplete statistics of power companies, 80% of power outages are caused by distribution system failures. Therefore, it is very important to accurately and quickly evaluate the reliability of distribution networks. [0003] With the improvement of informatization, automation and interaction of smart distribution network and the mutual penetration and integration with the Internet of Things, a large amount of data has been accumul...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06G06N3/08
Inventor 陈峰郑旭唐靖
Owner STATE GRID CORP OF CHINA
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