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Technology Research on Panoramic Situation Awareness of Operation State of Smart Distribution Network
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Abstract
With the increasing complexity of power grid structure, operation scheduling becomes more difficult, and the risk of blackout is also increasing. Therefore, it is particularly important to be able to timely and effectively perceive the security situation of smart power grid. The panoramic situation awareness technology of smart distribution network operation state mainly includes situation detection technology, situation perception technology and situation prediction technology. In the stage of situation detection, the collection and storage points of power big data are analysed from two aspects of internal and external factors, and the security situation evaluation system of power grid is constructed. In the phase of situation perception, HDFS, Hadoop, Hive and other technologies are used to obtain the security situation assessment value of smart grid to realize the comprehensive evaluation of the security situation of power grid. In the phase of situation prediction, a deep neural network model is constructed to complete the panoramic situation prediction of smart grid operation state.
Title: Technology Research on Panoramic Situation Awareness of Operation State of Smart Distribution Network
Description:
Abstract
With the increasing complexity of power grid structure, operation scheduling becomes more difficult, and the risk of blackout is also increasing.
Therefore, it is particularly important to be able to timely and effectively perceive the security situation of smart power grid.
The panoramic situation awareness technology of smart distribution network operation state mainly includes situation detection technology, situation perception technology and situation prediction technology.
In the stage of situation detection, the collection and storage points of power big data are analysed from two aspects of internal and external factors, and the security situation evaluation system of power grid is constructed.
In the phase of situation perception, HDFS, Hadoop, Hive and other technologies are used to obtain the security situation assessment value of smart grid to realize the comprehensive evaluation of the security situation of power grid.
In the phase of situation prediction, a deep neural network model is constructed to complete the panoramic situation prediction of smart grid operation state.
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