Micro Synchrophasor-Based Intrusion Detection in Automated Distribution Systems Toward Critical Infrastructure Security

Because electric power distribution systems are undergoing many technological changes, concerns are emerging about additional vulnerabilities that might arise. Resilient cyber-physical systems (CPSs) must leverage state measures and operational models that interlink their physical and cyber assets, to assess their global state. Here, the authors describe a viable process of abstraction to obtain this holistic state exploration tool by analyzing data from micro-phasor measurement units (mu PMUs) and monitoring distribution supervisory control and data acquisition (DSCADA) traffic. To interpret the data, they use semantics that express the system's specific physical and operational constraints in both the cyber and physical realms.