Cyberattacks with limited network information leading to transmission line overflow in cyber–physical power systems

Recent cyberattacks on the U.S. power grid revealed how vulnerable smart grids are against cyberattacks. Consequently, it is critical to study that can lead cascading failures in systems and develop models realistically emulate attack scenarios bypass existing bad data detection algorithms. In this paper, a mixed-integer linear programming model developed accurately load redistribution attacks via false injections (FDIs) targeted overflow multiple transmission lines while attackers have limited access network topology information. Compared research line overflow, proposed considers might all measurements only target set of region (area) instead full Numerical results IEEE 118-bus benchmark effectiveness modeling overflowing up four with incomplete information FDIs 40% nominal loads.