جستجوی مقالات مرتبط با کلیدواژه « False Data Injection » در نشریات گروه « پدافند غیرعامل »

Power grid is one of the most important infrastructure of any society on which other infrastructures depend. Studies show that the false data injection cyberattack can cause transmission lines to overload. Usually, the power grid is capable of responding to the natural overloads of transmission lines, but if a cyberattack is accompanied by a targeted physical attack, the overload of transmission lines can become out of control, and consecutive outages can occur in the power grid’s transmission lines. This situation eventually leads to local or nationwide blackouts of the power grid. To confront the overload of transmission lines, the power grid’s operator removes the overloads by taking corrective measures such as using the upward and downward reserve power as well as load shedding. In this paper, we first show how a simultaneous cyber-physical attack can increase the amount of load shedding. Then a model based on game theory is presented to plan the load dispatch of the grid so that the operator can repel the cyber-physical attack with the lowest possible cost using corrective measures. The proposed model is simulated on a 5-bus test network and the results are analyzed.

Considering the power grids automation and network data transferring in telecommunication infrastructure, the possibility of planning a cyber-attack grows up intensively. In this regard, the optimization of the budget for attack (BA) and budget for defense (BD) in a power network through cyber-attack is so crucial. In this paper, regarding the cyber invasion phase, the choice of the most vulnerable operating bus using the state estimation technique through a new algorithm is analyzed and simulated. For this purpose, false data injection is performed on the data sent from the PMU in such a way that it is not detectable to the network dispatching operator under the invasion. As a case study implementation of the suggested algorithm for a 14 IEEE bus network is carried out and the best bus in terms of exposure under attack is identified. The performance of this algorithm is based on the results obtained from state estimating of the grid after occurring a cyber-attack on different buses. Finally, the part of the grid, which the destruction of information in that part leads to the most damage to the grid, is determined.