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Title: Cybersecurity for distributed energy resources and smart inverters

The increased penetration of distributed energy resources (DER) will significantly increase the number of devices that are owned and controlled by consumers and third parties. These devices have a significant dependency on digital communication and control, which presents a growing risk from cyber attacks. This paper proposes a holistic attack-resilient framework to protect the the integrated DER and the critical power grid infrastructure from malicious cyber attacks, helping ensure the secure integration of DER without harming the grid reliability and stability. Specifically, we discuss the architecture of the cyber-physical power system with a high penetration of DER and analyze the unique cybersecurity challenges introduced by DER integration. Next, we summarize important attack scenarios against DER, propose a systematic DER resilience analysis methodology, and develop effective and quantifiable resilience metrics and design principles. Lastly, we introduce attack prevention, detection, and response measures specifically designed for DER integration across cyber, physical device, and utility layers of the future smart grid.
Authors:
 [1] ;  [2] ;  [1] ;  [1] ;  [2]
  1. Argonne National Lab. (ANL), Argonne, IL (United States). Energy Systems Division
  2. Washington State Univ., Pullman, WA (United States). School of Electrical Engineering and Computer Science
Publication Date:
Grant/Contract Number:
AC02-06CH11357
Type:
Accepted Manuscript
Journal Name:
IET Cyber-Physical Systems: Theory & Applications
Additional Journal Information:
Journal Volume: 1; Journal Issue: 1; Journal ID: ISSN 2398-3396
Research Org:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org:
USDOE Office of Electricity Delivery and Energy Reliability (OE)
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; security of data; invertors; power distribution reliability; power engineering computing; power grids
OSTI Identifier:
1374586

Qi, Junjian, Hahn, Adam, Lu, Xiaonan, Wang, Jianhui, and Liu, Chen-Ching. Cybersecurity for distributed energy resources and smart inverters. United States: N. p., Web. doi:10.1049/iet-cps.2016.0018.
Qi, Junjian, Hahn, Adam, Lu, Xiaonan, Wang, Jianhui, & Liu, Chen-Ching. Cybersecurity for distributed energy resources and smart inverters. United States. doi:10.1049/iet-cps.2016.0018.
Qi, Junjian, Hahn, Adam, Lu, Xiaonan, Wang, Jianhui, and Liu, Chen-Ching. 2016. "Cybersecurity for distributed energy resources and smart inverters". United States. doi:10.1049/iet-cps.2016.0018. https://www.osti.gov/servlets/purl/1374586.
@article{osti_1374586,
title = {Cybersecurity for distributed energy resources and smart inverters},
author = {Qi, Junjian and Hahn, Adam and Lu, Xiaonan and Wang, Jianhui and Liu, Chen-Ching},
abstractNote = {The increased penetration of distributed energy resources (DER) will significantly increase the number of devices that are owned and controlled by consumers and third parties. These devices have a significant dependency on digital communication and control, which presents a growing risk from cyber attacks. This paper proposes a holistic attack-resilient framework to protect the the integrated DER and the critical power grid infrastructure from malicious cyber attacks, helping ensure the secure integration of DER without harming the grid reliability and stability. Specifically, we discuss the architecture of the cyber-physical power system with a high penetration of DER and analyze the unique cybersecurity challenges introduced by DER integration. Next, we summarize important attack scenarios against DER, propose a systematic DER resilience analysis methodology, and develop effective and quantifiable resilience metrics and design principles. Lastly, we introduce attack prevention, detection, and response measures specifically designed for DER integration across cyber, physical device, and utility layers of the future smart grid.},
doi = {10.1049/iet-cps.2016.0018},
journal = {IET Cyber-Physical Systems: Theory & Applications},
number = 1,
volume = 1,
place = {United States},
year = {2016},
month = {12}
}