Cybersecurity Analytics using Smart Inverters in Power Distribution System: Proactive Intrusion Detection and Corrective Control Framework

Amin Y. Fard, Mitchell Easley, George T. Amariucai, Mohammad B. Shadmand, Haitham Abu-Rub

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Power grids with increasing number of distributed energy resources (DERs) equipped with fleet of smart devices are exposed to malicious attacks. These malicious actions can ultimately cause a large-scale blackout if these subversive activities are not prevented, detected, or promptly addressed. Power grids are being threatened by a category of cyber-physical attacks, which target both the physical and cyber layers of the system. This paper proposes an autonomous detection and corrective control framework consisting of two algorithms to identify anomalies and provide a corrective action on the distribution system using smart inverters. The proposed framework detects the inverter abnormal behaviors and identifies them as cyber-physical attack or internal failure of the inverter. A model predictive control (MPC) scheme is proposed to detect the inverter internal failure. In the case of inverter failure, the proposed MPC scheme adopts corrective actions to restore the inverter operation with a pre-defined power injection set-points. Additionally, this paper proposes a cyber-physical attack detection mechanism, based on measurements from a geographic community of smart devices. The proposed framework continuously assists the supervisory control and data acquisition (SCADA) system to differentiate anomalies on the distribution system and decide the appropriate control actions for the entire grid.

Original languageEnglish
Title of host publication2019 IEEE International Symposium on Technologies for Homeland Security, HST 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728150925
DOIs
Publication statusPublished - Nov 2019
Event2019 IEEE International Symposium on Technologies for Homeland Security, HST 2019 - Woburn, United States
Duration: 5 Nov 20196 Nov 2019

Publication series

Name2019 IEEE International Symposium on Technologies for Homeland Security, HST 2019

Conference

Conference2019 IEEE International Symposium on Technologies for Homeland Security, HST 2019
CountryUnited States
CityWoburn
Period5/11/196/11/19

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Keywords

  • anomaly detection
  • cyber-physical resiliency
  • cybersecurity
  • model predictive control
  • smart inverters

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Safety, Risk, Reliability and Quality
  • Safety Research

Cite this

Fard, A. Y., Easley, M., Amariucai, G. T., Shadmand, M. B., & Abu-Rub, H. (2019). Cybersecurity Analytics using Smart Inverters in Power Distribution System: Proactive Intrusion Detection and Corrective Control Framework. In 2019 IEEE International Symposium on Technologies for Homeland Security, HST 2019 [9032978] (2019 IEEE International Symposium on Technologies for Homeland Security, HST 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/HST47167.2019.9032978