Transition to a sustainable energy environment results in aggregated generator and load
dynamics in the distribution network. State estimation is a key function in building adequate …

State estimation (SE) is well-established at the transmission system level of the electricity
grid, where it has been in use for the last few decades and is a most vital component of …

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 …

The uptake of variable megawatts from photovoltaics (PV) challenges distribution system
operation. The primary problem is significant voltage rise in the feeder that forces existing …

The problem of state estimation for unobservable distribution systems is considered. A deep
learning approach to Bayesian state estimation is proposed for real-time applications. The …

New smart load management (SLM) approach for the coordination of multiple plug-in
electric vehicle (PEV) chargers in distribution feeders is proposed. PEVs are growing in …

This paper presents an alternative approach to pseudo measurement modeling in the
context of distribution system state estimation (DSSE). In the proposed approach, pseudo …

The modern energy requirements and the orientation towards Renewable Energy Sources
(RES) integration promote the transition of distribution grids from passive, unidirectional …

State estimation (SE) is indispensable for the situational awareness of power systems.
Conventional SE is fed by measurements collected from the supervisory control and data …

The increasing number of distributed generators connected to distribution grids requires a
reliable monitoring of distribution grids. Economic considerations prevent a full observation …