Identification of Intraday False Data Injection Attack on DER Dispatch Signals
Conference
·
· 2022 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)
- Columbia University,Department of Electrical Engineering,New York,NY,10027; Columbia University
- Siemens Technology,Princeton,NJ,08540
- Columbia University,Department of Electrical Engineering,New York,NY,10027
The urgent need for the decarbonization of power girds has accelerated the integration of renewable energy. Con-currently the increasing distributed energy resources (DER) and advanced metering infrastructures (AMI) have transformed the power grids into a more sophisticated cyber-physical system with numerous communication devices. While these transitions provide economic and environmental value, they also impose increased risk of cyber attacks and operational challenges. This paper investigates the vulnerability of the power grids with high renewable penetration against an intraday false data injection (FDI) attack on DER dispatch signals and proposes a kernel support vector regression (SVR) based detection model as a countermeasure. The intraday FDI attack scenario and the detection model are demonstrated in a numerical experiment using the HCE 187-bus test system.
- Research Organization:
- Columbia University
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE)
- DOE Contract Number:
- EE0008769
- OSTI ID:
- 1989807
- Conference Information:
- Journal Name: 2022 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)
- Country of Publication:
- United States
- Language:
- English
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