Behavior Analysis and Anomaly Detection for a Digital Substation on Cyber-Physical System

Author:

Kwon YooJin,Lee SangYoum,King Ralph,Lim Jong,Kim Huy

Abstract

The electric power system infrastructure has begun to adopt digital information technologies such as transmission control protocol/internet protocol (TCP/IP) and Ethernet infrastructures. With this adoption, information technology-centric network and system management (NSM) tools are used to manage the intermediate communication systems and electric devices in digital substations. However, the technology to monitor the cyber–physical System (CPS) statistics for the intelligent electronic devices (IEDs) and serial communication for a digital substation does not exist yet. In this paper, we aim to propose cyber-physical analysis methodologies of a digital substation system, concerning issues of (1) International Electrotechnical Commission (IEC) 62351-7 based network and system management, (2) behavior analysis of the CPS, (3) cyber–physical anomaly detection systems, and (4) a testbed for a digital substation. By collaborating with Electric Power Research Institute (EPRI), a cyber security testbed for the digital substation has been developed to implement the use cases and analyze potential security threats. Newly integrated methodologies for information handling are expected to lead to improved safety and reliability for the CPS of electric power grid systems.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

Reference46 articles.

1. Power Systems Management and Associated Information Exchange—Data and Communications Security—Part 7: Network and System Management (NSM) Data Object Models https://webstore.iec.ch/publication/6910

2. Network and System Management: Advanced Application of the IEC 62351-7 Standard and Utility Pilot Project https://www.epri.com/#/pages/product/3002005944/

3. Modeling of Intrusion and Defense for Assessment of Cyber Security at Power Substations

4. Cyber-Physical Security Testbed for Substations in a Power Grid;Hong,2015

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