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Distribution network risk early warning method considering grid flexibility and adaptability

A technology of adaptability and risk early warning, applied in forecasting, data processing applications, instruments, etc., to achieve the effects of fast forecasting speed, accurate forecasting results, and convenient and clear calculation

Active Publication Date: 2021-10-26
NORTHEASTERN UNIV LIAONING
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the other part, although some rating indicators and evaluation systems have been constructed, they still focus on the optimization of the indicators themselves.

Method used

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  • Distribution network risk early warning method considering grid flexibility and adaptability
  • Distribution network risk early warning method considering grid flexibility and adaptability
  • Distribution network risk early warning method considering grid flexibility and adaptability

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Experimental program
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Effect test

Embodiment 1

[0071] Step 1: Carry out multidimensional analysis to the historical disaster fault data collected online and form a three-dimensional disaster fault set Ω, the three-dimensional disaster fault set is divided into a layer, b layer and c layer;

[0072] The multidimensional analysis of data such as Figure 4 Shown:

[0073] Dimension I: Through the rotation and expansion of data, the correlation analysis results of disaster weather data are obtained;

[0074] Dimension II: analyze and determine the type of disaster when it first occurred and the process of disaster development and change;

[0075] Dimensions III and IV: analyze and determine whether the disaster is transferred, including the type, intensity and time of transfer of the disaster;

[0076] Dimension V: analyze the consequences of disasters, including the scope of the disaster and the damage caused by the disaster;

[0077] VI dimension: cache the relevant dimension data analyzed by the above dimensions;

[007...

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Abstract

The invention provides a distribution network risk early warning method considering the elasticity and adaptability of the distribution network. Including: multi-dimensional analysis of historical disaster fault data collected online to form a three-dimensional disaster fault set Ω, the three-dimensional disaster fault set is divided into a layer, b layer and c layer; analyze the multi-dimensional data and calculate the fault of the line under a single disaster Rate λ 1 , and then evaluate the elastic resilience of low-probability high-risk disaster events to calculate the comprehensive failure rate λ of the line under complex disasters; carry out multi-dimensional analysis on the line area meteorological information data collected online, predict the disaster weather scene that will appear, and communicate with Comparing the a-level and b-level of the three-dimensional disaster fault concentration to obtain the disaster transfer scene that will appear; calculate the risk assessment results of the distribution network line in the disaster area taking into account the adaptability of the power grid. The risk assessment results of distribution network lines in disaster areas, which take into account the adaptability of the power grid, are compared with the c-layer in the three-dimensional disaster fault set, and online early warning is carried out.

Description

technical field [0001] The present invention relates to the technical field of distribution network evaluation, in particular, to a distribution network risk early warning method considering the flexibility and adaptability of the distribution network. Background technique [0002] As an important part of the power system, the distribution network is usually located at the end of the power system and is an important connection between the transmission network and power users. Whether it is a traditional distribution network or a smart distribution network, high-quality and reliable power supply is one of the key goals. However, in the context of frequent natural disasters caused by global climate change, due to technical limitations, it is difficult for traditional distribution networks to achieve continuous and stable power supply under disaster conditions, and can only rely on the passive defense mode of post-event repairs. As a result, the power supply reliability of the...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/0635G06Q10/06393G06Q50/06
Inventor 肖军许智慧刘鑫蕊刘晓志孟令军李丹孙秋野黄博南
Owner NORTHEASTERN UNIV LIAONING
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