Abstract
In this paper, we present a novel distributed state estimation approach in networked DC microgrids to detect the false data injection in the microgrid control network. Each microgrid monitored by a distributed state estimator will detect if there is manipulated data received from their neighboring microgrids for control purposes. A dynamic model supporting the dynamic state estimation will be constructed for networked microgrids. The optimal distributed state estimation, which is robust to load disturbances but sensitive to false data injected from neighboring microgrids will be presented. To demonstrate the effectiveness of the proposed approach, we simulate a 12kV three-bus networked DC microgrids in MATLAB/Simulink. Residual information corresponding to the false data injected from neighbors validates the efficacy of the proposed approach in detecting compromised agents of neighboring microgrids.
Original language | American English |
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Pages | 4050-4055 |
Number of pages | 6 |
DOIs | |
State | Published - Oct 2019 |
Event | 45th Annual Conference of the IEEE Industrial Electronics Society, IECON 2019 - Lisbon, Portugal Duration: 14 Oct 2019 → 17 Oct 2019 |
Conference
Conference | 45th Annual Conference of the IEEE Industrial Electronics Society, IECON 2019 |
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Country/Territory | Portugal |
City | Lisbon |
Period | 14/10/19 → 17/10/19 |
Bibliographical note
Publisher Copyright:© 2019 IEEE.
NREL Publication Number
- NREL/CP-5C00-77217
Keywords
- Cyber intrusion detection
- Cyber-physical systems
- Distributed dynamic state estimation
- False data injection
- Networked dc microgrids