Method and system for modeling genetic attacks on power systems based on autonomous evolutionary game

The power system gene attack modeling method based on autonomous evolutionary game theory solves the problems of dynamic adaptability and cross-temporal collaborative planning in intelligent power system collaborative attacks in existing technologies, realizes the self-organization and collaborative evolution of attack strategies, and improves the defense capability of power systems.

CN122174606APending Publication Date: 2026-06-09NORTHEAST DIANLI UNIVERSITY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
NORTHEAST DIANLI UNIVERSITY
Filing Date
2026-01-26
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Existing technologies are insufficient to accurately describe and respond to collaborative attacks on intelligent, self-evolving power systems. They lack dynamic adaptability and cross-temporal collaborative planning, and their attack strategies have weak adaptive capabilities, making it difficult to balance destructiveness and low visibility in long-term attacks.

Method used

A gene attack modeling method for power systems based on autonomous evolutionary game theory is adopted. Through the evolutionary processing of the power attack gene regulation and coding model, an attack-defense game optimization objective function is constructed, and a spatiotemporal joint attack strategy matrix that satisfies the physical constraints of the power system is generated. The interactive evolution of attack and defense strategies is realized until it converges to Nash equilibrium.

Benefits of technology

It effectively overcomes the rule-fixing defects of existing methods, ensures the self-organization and collaborative evolution of attack strategies in the power system, realizes long-term attacks with high destructiveness and low visibility, and provides an accurate basis for system vulnerability assessment and proactive defense design.

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Abstract

The application discloses a power system gene attack modeling method and system based on autonomous evolution game, relates to the technical field of power system attack and defense simulation, and comprises the following steps: performing evolution processing on a plurality of first power attack genes by using a power attack gene regulation coding model, obtaining second power attack genes corresponding to each first power attack gene and performing genetic evolution, simulating a dynamic confrontation process between an attack behavior and a defense mechanism based on an immune response model by using all third-generation power attack genes; constructing an attack and defense game optimization objective function, taking the attack and defense game optimization objective function as an optimization criterion, and making attack strategies and defense strategies interactively evolve through autonomous evolution game until the attack and defense game converges to Nash equilibrium. The first power attack genes are subjected to evolution processing by using the power attack gene regulation coding model, so that the attack logic can be self-organized and cooperatively evolved like biological genes.
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