Abstract:

A cyber-energy system develops when the degree of connectivity between information and energy increases. Communication networks are carrying an increasing amount of data, and if a cyber system malfunctions or behaves strangely, the flaw might spread over space to affect the entire system. In contemporary power systems, data of sensors is sent to the control centres across lengthy communication lines. The analysis of data is done there and used by different optimization or control methods for the planning, operation, and scheduling of power systems. These networked systems are susceptible to cyberattacks since the communication channels are not protected and the data is not secured. In this paper, the communication line carrying data from power sensors to the control centres underwent an analysis of the fake data injection (FDI) attack. The measurements of branch power flows and load demand are contained in this data, which is then further examined and used to calculate the optimal power flow (OPF). With regard to load and line flows for common test systems, a susceptibility evaluation OPF under FDI attacks has been discussed.

Description:

Optimal power flow, Cyber attacks, False data injection, ISEA, Cyber security.