Oberver-based Attack Detection and Mitigation in DC Microgrid Systems
- Publisher:
- IEEE
- Publication Type:
- Conference Proceeding
- Citation:
- 2023 IEEE 14th International Symposium on Power Electronics for Distributed Generation Systems (PEDG), 2023, 00, pp. 959-964
- Issue Date:
- 2023-01-01
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Filename | Description | Size | |||
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Oberver-based Attack Detection and Mitigation in DC Microgrid Systems.pdf | Accepted version | 1.39 MB |
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This paper proposes an observer-based scheme for dealing with cyber-attacks in direct current (DC) microgrid (MG) systems. For this purpose, we derive the dynamic equations of the considered DC MGs with the Kirchhoff principles. Then, for each distributed generation unit (DGU), a bank of unknown input observers are developed to estimate the states of the neighboring DGU. By augmenting the equations of each compromised DGU with the attack signals, we detect the attacks and estimate the states of each neighbor agent. After attack detection, we mitigate the destructive effects of cyberattacks by cleaning the compromised signals. Primary and secondary controllers are designed to provide stability and obtain accurate voltage regulation and current sharing among DGUs. For this purpose, two proportional-integral controllers are developed in the local control layer of each DGU to secure voltage regulation and equal current sharing between all units. The main feature of this scheme is using a local observer to estimate the states of neighbor DGUs, which prevents the occurrence of new cyber-attacks in the communication system. The computer simulation with MATLAB/SIMULINK is conducted to show the applicability of this scheme. According to simulation results, the proposed method can detect and mitigate constant false data injection cyber-attacks in the current channels.
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