This study highlights the research works on different uncertainty issues encountered in
distribution system state estimation (DSSE). The DSSE plays a crucial role since the …

This paper presents a review of the literature on state estimation (SE) in power systems.
While covering works related to SE in transmission systems, the main focus of this paper is …

Distribution System State Estimation (DSSE) infers the states (eg, voltage phasors) using
measurements from the electric distribution grid. As the distribution network becomes more …

This paper presents a three-phase Distribution System State Estimator (DSSE) based on a
Bayesian inference approach to manage different sampling rates of typical sources of …

Timely perception of distribution system states is critical for the control and operation of
power grids. Recently, it has been seriously challenged by the dramatic voltage fluctuations …

Polynomial-chaos-expansion-based surrogate models have recently been advocated in the
literature for power system dynamic parameter estimation. Regarding the estimation of the …

This paper develops a new response-surface-based Bayesian inference approach for power
system dynamic parameter estimation of a decentralized generator using phasor …

An enormous challenge for state estimation (SE) in power distribution networks with high
penetration of photovoltaic generators lies in how to deal with measurement uncertainty …

In power systems, state estimation (SE) is a widely investigated method to collate field
measurements and power flow (PF) equations to derive the most-likely state of the observed …

The problem of state estimation for unobservable three-phase unbalanced distribution
systems is considered. A Bayesian approach is proposed that combines Bayesian inference …