Extracting substation cyber-physical architecture through intelligent electronic devices' data

Abstract

Intelligent electronic devices (IEDs) are widely used in power systems and result in diverse heterogeneous cyber-physical architectures. A scalable and fast way of accessing these IEDs and automatically extracting substation cyber-physical architecture for power systems from the data would benefit engineering design, power system analysis, security analysis, and cyber-physical security analysis. This paper presents a framework of automated cyber-physical architecture extraction and management. The proposed system will greatly reduce the time and human effort on extracting the cyber-physical architecture. This feature provides new capabilities for power system contingency analysis, cyber-physical security analysis, network connectivity examination, and improved intra- and inter-organizational event planning, preparation, and response capabilities.