  Large-scale Load-Altering Attacks (LAAs) against Internet-of-Things (IoT)
enabled high-wattage electrical appliances (e.g., wifi-enabled
air-conditioners, electric vehicles, etc.) pose a serious threat to power
systems' security and stability. In this work, a Cyber-Resilient Economic
Dispatch (CRED) framework is presented to mitigate the destabilizing effect of
LAAs while minimizing the overall operational cost by dynamically optimizing
the frequency droop control gains of Inverter-Based Resources (IBRs). The
system frequency dynamics incorporating both LAAs and the IBR droop control are
modeled. The system stability constraints are explicitly derived based on
parametric sensitivities. To incorporate them into the CRED model and minimize
the error of the sensitivity analysis, a recursive linearization method is
further proposed. A distributionally robust approach is applied to account for
the uncertainty associated with the LAA detection/parameter estimation. The
overall performance of the proposed CRED model is demonstrated through
simulations in a modified IEEE reliability test system.
