Programmable intrusion detection for distributed energy resources in cyber–physical networked microgrids

Shuyang Ma, Yan Li, Liang Du, Jianzhong Wu, Yue Zhou, Yichen Zhang, Tao Xu

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

A programmable intrusion detection method is presented to identify the malicious attacks to distributed energy resources (DERs) in the cyber–physical networked microgrids. The proposed method injects small programmable signals into the system and uses the response to identify abnormal conditions. Because of the low or even zero inertia induced by integrations of DER power-electronic-interfaces, microgrids have very limited resilience capability; and thus, being sensitive to attacks. One microgrid's malfunction caused by attacks can easily propagate to its neighboring systems when several microgrids are connected, leading to catastrophic electricity supply failures. Through the presented method, malicious intrusions can be effectively detected, located, and defended for securing microgrids. Theoretical derivations are provided to define the programmable detection rules. The detection rule is easy and flexible to update, making it difficult for attack actors to gain the knowledge of the detection rules, in order to avoid being detected. Numerical results on a cyber–physical networked microgrids system show that the proposed method is effective and efficient in precisely locating intrusion attacks to the microgrids system.

Original languageEnglish (US)
Article number118056
JournalApplied Energy
Volume306
DOIs
StatePublished - Jan 15 2022

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering
  • General Energy
  • Management, Monitoring, Policy and Law
  • Building and Construction
  • Renewable Energy, Sustainability and the Environment

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