Abstract
In this paper, we present a mitigation methodology that leverages battery energy storage system (BESS) resources in coordination with microgrid (MG) ancillary services to maintain power system operations during cyberattacks. The control of MG agents is achieved in a distributed fashion, and once a misbehaving agent is detected, the MG,′s mode supervisory controller (MSC) isolates the compromised agent and initiates self-healing procedures to support the power demand and restore the compromised agent. Our results demonstrate the practicality of the proposed attack mitigation strategy and how grid resilience can be improved using BESS synergies. Simulations are performed on a modified version of the Canadian urban benchmark distribution model.
Original language | English (US) |
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Title of host publication | 2022 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2022 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 238-244 |
Number of pages | 7 |
ISBN (Electronic) | 9781665432542 |
DOIs | |
State | Published - 2022 |
Event | 2022 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2022 - Singapore, Singapore Duration: Oct 25 2022 → Oct 28 2022 |
Publication series
Name | 2022 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2022 |
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Conference
Conference | 2022 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2022 |
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Country/Territory | Singapore |
City | Singapore |
Period | 10/25/22 → 10/28/22 |
Bibliographical note
Publisher Copyright:© 2022 IEEE.
Keywords
- attacks
- battery energy stor-age systems
- Cyber-physical microgrids
- detection
- mitigation
ASJC Scopus subject areas
- Computer Networks and Communications
- Artificial Intelligence
- Computer Science Applications
- Control and Systems Engineering
- Safety, Risk, Reliability and Quality
- Control and Optimization