Power grid disaster early warning system based on cloud computing

Abstract

The invention discloses a power grid disaster early warning system based on cloud computing, relates to the technical field of power distribution networks, and solves the technical problems that an existing scheme cannot accurately early warn power grid disasters and an early warning result cannot be visually displayed. Comprising a cloud platform, a region division module, a data center module, a model establishment module, an early warning analysis module, a global monitoring module and a data storage module. According to the invention, the area division module is arranged, so that the minimum disaster monitoring area is provided, and the accuracy of disaster prediction of the power distribution network can be ensured; the system is provided with the model building module, the artificial intelligence model is trained through a standard data training set, an early warning analysis model capable of accurately completing disaster early warning is obtained, and the early warning precision of power grid disasters is guaranteed; according to the invention, the early warning analysis module is arranged, so that accurate early warning of power grid disasters can be realized, and a prediction result can be visually displayed.

Description

technical field [0001] The invention belongs to the field of power distribution network and relates to cloud computing technology, in particular to a power grid disaster warning system based on cloud computing. Background technique [0002] With the development of smart grid and energy Internet, the power system is becoming a complex system integrating power, information and communication networks. Concepts such as cyber-physical fusion system and energy information fusion system have also been proposed to reflect the new characteristics of power systems. The information network is integrated into the power physical system, which improves the operation efficiency of the power system, but also increases the operation risk of the power system. The security and reliability of complex active distribution networks under the background of cyber-physical fusion are very important issues; therefore, it is necessary to study the operation risks of distribution networks under the inf...

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Problems solved by technology

[0004] The above scheme uses the disaster-forming environment and disaster-bearing body parameters to establish a statistical correlation model of typhoon disaster accident density, and then combines the typhoon wind field forecast products of mesoscale numerical weather forecasting to obtain the early warning information of typhoon disasters in the distribution network, which provides power grid typhoon disaster prevention and emergency measures. The study provides necessary early warning and forecast information; however, the selection of disaster-forming environment in the above scheme is relatively simple, and it can only be predicted for the distribution network affected by wind disasters, resulting in imperfect early warning of distribution network disasters; therefore, the above scheme still needs to further improvement

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