Automatic identification method for network security check of power system

By employing adaptive dynamic topology sensing, multi-dimensional risk assessment, and multi-objective optimization intelligent decision-making, the problems of dynamic topology sensing and multi-dimensional risk assessment in power system network security verification have been solved, enabling rapid response and efficient decision-making, and improving the automation and intelligence level of network security verification.

CN121333809APending Publication Date: 2026-01-13STATE GRID HENAN ELECTRIC POWER CO WENXIAN POWER SUPPLY CO
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Patent Information

Application Number
CN202511804235.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-03
Publication Date
2026-01-13

AI Technical Summary

Technical Problem

Traditional power system network security verification methods cannot perceive network dynamic changes in real time, have insufficient accuracy in identifying boundary devices, lack coordination in multi-dimensional risk assessment, and are prone to getting trapped in local optima in intelligent decision-making, thus failing to meet the millisecond-level topology response requirements of large substations.

Method used

It employs an adaptive dynamic topology perception module, a dynamic correlation multi-dimensional risk assessment module, and a multi-objective optimization intelligent decision engine module, combined with edge computing and the ARSTP algorithm, to achieve real-time perception of network topology and multi-dimensional risk collaborative assessment. It generates a globally optimal decision scheme through the PSO-GA hybrid algorithm and displays and links it through a visualization interaction and emergency linkage module.

Benefits of technology

It significantly improves the automation and intelligence level of power system network security verification, realizes rapid response to dynamic topology, collaborative assessment of multiple types of attacks and multi-objective decision optimization, reduces false alarm rate and topology update delay, and improves the accuracy of boundary device identification and risk handling efficiency.

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Abstract

The invention discloses a power system network security check automatic identification method, which comprises the following steps: S1, sensing the dynamic change of a power system network topology in real time through a self-adaptive dynamic topology sensing module, accurately identifying boundary equipment, and laying a foundation for subsequent security check; s2, dynamically associating a multi-dimensional risk assessment module; s3, optimizing an intelligent decision engine module through multiple targets; and S4, a visual interaction and emergency linkage module is adopted. According to the method, the automation and intelligence level of network security check of the power system is remarkably improved, breakthrough innovation is particularly achieved in the aspects of dynamic topological response, multi-type attack collaborative evaluation and multi-target decision optimization in a complex power grid environment, and the method has wide market application prospects and is worthy of popularization and application. The method can be widely applied to network security protection of key power infrastructures such as 500kV and above hub substations, regional power dispatching centers, new energy power stations and the like.
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