… conducted on cyber attacks such as false data injection attacks against Kalman filtering. …
data injection attacks against Kalman filtering in the dynamic state estimation of power systems …

… (EMSs), is vulnerable to false data injection attacks, due to the undetectability of those attacks
… In this paper, we propose using the unscented Kalman filter (UKF) in conjunction with a …

… Kalman filter to estimate the variables of a wide range of state processes in the model. The
estimates from the Kalman filter … method used with the Kalman filter for the measurement of …

… at an adaptive Kalman filter method for dynamic harmonic state estimation and harmonic
injection … As an alternative, the proposed adaptive Kalman filter switches between the two basic …

… Kalman Filters (EKF) for DSSE, the inputs to the system model (for instance, the hourly
changes of active and reactive power injection) … of weekly input power injection variations at all …

… This paper presents a Kalman filtering-based technique for optimal harmonic metering
locations and dynamic estimates of unbalanced three-phase harmonic injections in power …

… This paper proposes a Kalman filter-based approach to detect false data injections on the
AGC systems. The main advantage of the Kalman filter is its ability to provide a highly accurate …

… Since meters are distributed in smart power grids, … Kalman filter for the power grid to have
a good performance in estimating models and to effectively detect false data injection attacks. …

… This means that the process noise and the measurement noise are correlated, therefore,
this Kalman filter used in this article is slightly different from the classic Kalman filter. Update: At …

… The technique described in this paper extracts a subset of the measurements, the real and
reactive power injections Γ, and uses the … The input is the change in the forecasted injections. …