User power supply recovery emergency degree classification method in large area power failure emergency processing

Abstract

The invention discloses a user power supply recovery emergency degree classification method in large area power failure emergency processing. The method comprises the following steps of: obtaining user description attributes of power failure users in a historical record, randomly sampling an integral power failure user set, obtaining the sample set of the power failure users, and collecting a power supply recovery emergency degree label marked by a service personnel on the sample set to form a power failure user sample set with a label; creating a classification model according to the user description attributes and the power failure user sample set with the label through a preset algorithm, and optimizing and determining classification model parameters according to the classification model and corresponding parameters of the classification model; and obtaining the user description attributes of power failure users to be classified, and classifying the power failure users to be classified into a plurality of categories according to the power supply recovery emergency degrees through the classification model and corresponding parameters of the classification model in a plurality of categories. The user power supply recovery emergency degree classification method provided by the invention can be used for scientifically quantifying the power supply recovery emergency degree, reasonably guiding the power supply recovery work and redeeming the economic loss.

Description

technical field [0001] The invention relates to the technical field of data mining, in particular to a method for classifying the urgency of power restoration of users in the emergency treatment of large-scale power outages. Background technique [0002] With the continuous development and progress of social economy and cultural life, the city's dependence on electricity is like the relationship between fish and water. Without electricity supply, the transportation, production and life of the whole city will be paralyzed. Panic and huge losses are difficult to estimate. In recent years, large-scale power outages have occurred successively at home and abroad, causing huge losses to the society, such as the "July 30 large-scale power outage" in India in 2012, and the "August 14 blackout in the United States and Canada" in 2003. [0003] Due to the large power outage area and the wide range of people involved, it is difficult for the power system to restore power to the power ...

AI Technical Summary

Problems solved by technology

At the same time, if the power supply is difficult to quickly return to the normal power supply level during the power outage, the loss caused by the power outage will increase, and it is difficult to guarantee the satisfaction of power users.

In the face of large-scale power outages, power restoration work should be carried out to power users according to priority, but there is no scientific basis for this in the existing technology, and the user situation is not comprehensively considered, and some important units are often carried out first based on subjective assumptions Resumption of electricity, some power users who are in urgent need of electricity are forced to delay the restoration of electricity, resulting in the expansion of economic losses

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