Testing the Fault Tolerance of a Wide Area Backup Protection System using Spin

Abstract

Cyber-physical systems are increasingly prevalent in daily life. Smart grids in particular are becoming more interconnected and autonomously operated. Despite the advantages, new challenges arise in the form of defending these assets. Recent studies reveal that small-scale, coordinated cyber-attacks on only a few substations across the U.S. could result in cascading failures affecting the entire nation. In support of defending critical infrastructure, this thesis tests the fault tolerance of a backup protection system. Each transmission line in the system incorporates autonomous agents which monitor the status of the line and make decisions regarding the safety of the grid. Various malfunctions that could occur from real-life attacks are simulated in the grid with the intent of determining its ability to successfully respond to faults despite adversity. The SPIN model checker is used to execute all combinations of fault location and malfunctions to determine which types can occur, and how many, before the system is unable to properly clear a fault. With results analyzed, the decision making process of the model is revised to increase its fault tolerance.

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Document Details

Document Type
Technical Report
Publication Date
Mar 21, 2019
Accession Number
AD1075590

Entities

People

  • Kenneth James

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Counter IED
  • Cyber
  • Energy and Power Technologies
  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Air Force
  • Autonomous Agents
  • Computer Programming
  • Department Of Defense
  • Electrical Grids
  • Engineering
  • Engineers
  • Fault Tolerance
  • Governments
  • Impedance
  • Load Monitoring
  • Malfunctions
  • Reliability
  • Simulations
  • Transmission Lines
  • United States Government
  • Verification

Readers

  • Cybersecurity.
  • Parallel and Distributed Computing.
  • Systems Analysis and Design

Technology Areas

  • Cyber