Abstract
Blackout events indicate that the overloaded power lines are the chief culprit to trigger the large-scale cascading failures hidden in the power grid. In order to protect the grid from the cascading failures, this paper aims to design a false data injection attack for the operators to identify the overloaded power lines. A leader-follower game-theoretic bi-level optimization model is formulated to maximize the set of overloaded power lines. To evaluate the performance of our proposed method, numerical simulations are performed on the IEEE 14-bus, 30-bus, 57-bus, and 118-bus systems. The results of Monte Carlo experiments indicate that the occurrence frequency of overloaded power lines is the most in our method.
Supported in part by National Key R&D Program of China under Grant 2018YFC0809001.
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Peng, DT., Dong, J., Peng, Q., Zeng, B., Mao, ZH. (2019). FDIA-Identified Overloaded Power Lines. In: Liu, F., Xu, J., Xu, S., Yung, M. (eds) Science of Cyber Security. SciSec 2019. Lecture Notes in Computer Science(), vol 11933. Springer, Cham. https://doi.org/10.1007/978-3-030-34637-9_20
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DOI: https://doi.org/10.1007/978-3-030-34637-9_20
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