Allocating defense resources for spatial cyber-physical power systems based on deep reinforcement learning

Allocating defense resources to specific lines can enhance the resilience of power systems against external damages. Considering the impact of information systems, a defense resource allocation model for cyber-physical power systems (CPPS) is developed with the length of power lines as the defense c...

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Veröffentlicht in:	IEEE International Conference on Industrial Cyber Physical Systems (Online) S. 1 - 6
Hauptverfasser:	Dong, Zhengcheng, Tang, Mian, Tian, Meng
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 08.05.2023
Schlagworte:	cyber-physical power systems Deep learning deep Q -network algorithm defense resource allocation length constraint Optimization Power systems Programming Reinforcement learning Resource management Training
ISSN:	2769-3899
Online-Zugang:	Volltext
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