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Intrusion-Detector-Dependent Distributed Economic Model Predictive Control for Load Frequency Regulation With PEVs Under Cyber Attacks.
- Source :
-
IEEE Transactions on Circuits & Systems. Part I: Regular Papers . Sep2021, Vol. 68 Issue 9, p3857-3868. 12p. - Publication Year :
- 2021
-
Abstract
- With the participation of a significant number of plug-in electric vehicles (PEVs), it is really challenging to achieve economic-effective in load frequency control (LFC) while sustaining satisfiable system performance. To tackle this challenge, a new distributed economic model predictive control (DEMPC) strategy is proposed for the LFC with the large-scale PEV participation. In the light of the vulnerability of LFC to false data injection (FDI) attacks, a model-based χ2 intrusion detection unit is integrated with the proposed DEMPC. This model-based intrusion detection unit can not only monitor the FDI attacks, but also generate a model-based state prediction for the DEMPC once the data is identified as compromised. Then, an event-triggering mechanism is presented to reduce the computation and communication burdens of each area controller. Simulation studies of a four-area power system are conducted and the results validate the effectiveness of the proposed intrusion detection unit and event-triggering conditions for the DEMPC. [ABSTRACT FROM AUTHOR]
- Subjects :
- *ECONOMIC models
*PREDICTION models
*CYBERTERRORISM
*INJECTIONS
*ELECTRIC vehicles
Subjects
Details
- Language :
- English
- ISSN :
- 15498328
- Volume :
- 68
- Issue :
- 9
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Circuits & Systems. Part I: Regular Papers
- Publication Type :
- Periodical
- Accession number :
- 153153088
- Full Text :
- https://doi.org/10.1109/TCSI.2021.3089770