Kalman filter (KF) algorithm is a form of recursive optimal estimations, which utilizes
information in time domain with less computational efforts to reduce the system errors …

In this paper we investigate the impact of model and measurement uncertainties on the state-
estimation results for different estimators, and different measurement configurations in a …

Distribution state estimation is a desired feature of modern power systems. The availability of
measurements from smart meters has opened the door to extend the application of state …

This paper analyzes the multiple bad data originated by a gross error in any voltage or
current transformer of the measurement equipment. Considering the statistical correlations …

With the increasing penetration of Inverter-Based Resources (IBRs) and their impact on
power system stability and operation, the concept of stability-constrained optimization has …

In this paper, an alternative uncertainty treatment for the traditional unconstrained weighted-
least-squares (WLS) method is presented. This treatment enables hydraulic constraints (ie …

Abstract Hydraulic State Estimation allows to estimate the most likely state of a water supply
network considering multiple sources of information and their associated uncertainty. It is set …

We propose a technique to assess the vulnerability of the power system state estimation. We
aim at identifying the measurements that have a high potential of being the target of false …

Parameter estimation of synchronous generation systems is vital to the validation of power
system dynamic analysis. Compared with the substantially investigated single-scenario …

Leak detectability or leakage awareness refers to the capability of sensing losses from a
water supply system. Several methods exist in the technical literature to tackle this problem …