• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. Vulnerability-Based Optimal Grid Defense Strategies for Enhancing Cyber-Physical Energy System Resilience
 
  • Details
  • Full
Options
September 2, 2025
Conference Paper
Title

Vulnerability-Based Optimal Grid Defense Strategies for Enhancing Cyber-Physical Energy System Resilience

Abstract
An approach is proposed to identify optimal asset protection strategies based on vulnerability assessment outcomes. Traditional bilevel attacker-defender models emphasize worst-case scenarios but offer limited defensive guidance. In contrast, trilevel models introduce high computational complexity and rely on fixed network configurations. The proposed critical-components method leverages vulnerability assessment results to determine protection strategies, effectively outsourcing the upper-level defense decision. This enables adaptability to diverse network topologies, assessment techniques, and cyber-physical energy systems without the overhead of multi-level optimization. Case studies demonstrate the potential for improved system resilience across varying operational conditions.
Author(s)
Tönges, Eric
Universität Kassel  
Braun, Martin
Fraunhofer-Institut für Energiewirtschaft und Energiesystemtechnik IEE  
Härtel, Philipp  orcid-logo
Fraunhofer-Institut für Energiewirtschaft und Energiesystemtechnik IEE  
Mainwork
60th International Universities Power Engineering Conference, UPEC 2025  
Conference
International Universities Power Engineering Conference 2025  
DOI
10.1109/UPEC65436.2025.11279879
Language
English
Fraunhofer-Institut für Energiewirtschaft und Energiesystemtechnik IEE  
Keyword(s)
  • bilevel optimization

  • cyber-physical energy system

  • resilience enhancement

  • trilevel optimization

  • vulnerability assessment

  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024