Distribution network risk early warning method considering network elasticity and adaptability

A technology of adaptability and risk early warning, applied in forecasting, data processing applications, instruments, etc.

Active Publication Date: 2019-03-08
NORTHEASTERN UNIV
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

In the other part, although some rating indicators and evaluation systems have be

Method used

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  • Distribution network risk early warning method considering network elasticity and adaptability
  • Distribution network risk early warning method considering network elasticity and adaptability
  • Distribution network risk early warning method considering network elasticity 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 network elasticity and adaptability, including carrying out the multi-dimensional analysis of historical disaster fault data collected on line and forming stereoscopic disaster fault set omega, wherein the stereoscopic disaster fault set is divided into a layer, b layer and c layer; analyzing the multi-dimensionaldata to calculate the failure rate lambda 1 of the line under a single disaster, and then evaluating the elastic resilience of the low probability and high risk disaster events to calculate the comprehensive failure rate lambda of the line under the compound disaster; analyzing the meteorological information data collected on-line multidimensionally to predict the disaster weather scenarios, and obtaining the disaster transfer scenarios by comparing the disaster weather scenarios with the a-layer and b-layer of the stereoscopic disaster fault set; calculating the distribution network line riskassessment results in disaster area considering the adaptability of the grid; comparing the risk assessment results of distribution network in disaster area considering the adaptability of power gridwith the c-layer of stereoscopic disaster fault set, and carrying out the on-line early warning.

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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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
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