Real-time safety early warning method and device for intelligent power grid

Abstract

The invention provides a real-time safety early warning method and device for an intelligent power grid. The method includes the following steps of: utilizing pre-processed historical electricity consumption data as training data to perform training of a classifier model; utilizing a trained classifier model to predict an electricity consumption safety state according to real-time electricity consumption data of a user; and sending out a power grid early warning according to the electricity consumption safety state. The technical scheme of the real-time safety early warning method and device is suitable for various big data processing platforms to quickly and effectively analyze and process a large amount of power grid state information, therefore the security assurance of the power grid and the user is improved.

Description

technical field [0001] The invention belongs to the field of monitoring and forecasting of smart grid operation and maintenance, and in particular relates to a real-time security early warning method and device for smart grids. Background technique [0002] The rapid popularization of smart terminals promotes the continuous development of smart grid in the direction of digitization, informatization and intelligence. The traditional way of manually collecting power grid data is far from meeting the needs of large-scale collection of real-time data in the power grid. An important research direction in today's academia and industry is to improve the online analysis capability of power grid characteristics, realize the overall control of the power grid operation status and optimize the control of system resources, especially the key analysis of customers' electricity consumption behavior and consumption behavior, Realize differentiated services, provide customers with further va...

AI Technical Summary

Problems solved by technology

However, the current distribution network is still a relatively fragile system. Once a large-scale failure or power outage occurs, the consequences are quite serious, even catastrophic. At the same time, the operation of the distribution network will also be affected by the status of the power grid itself and weather conditions. Therefore, in order to improve the security, stability and reliability of the power system, it is necessary to provide a real-time security early warning method for smart grids to provide security early warnings for risks faced in the operation of distribution networks, and to make accurate early warnings for potential failure risks of distribution networks.

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