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 …

Contemporary power grids are being challenged by rapid and sizeable voltage fluctuations
that are caused by large-scale deployment of renewable generators, electric vehicles, and …

The distribution system state estimation problem seeks to determine the network state from
available measurements. Widely used Gauss-Newton approaches are very sensitive to the …

Power system state estimation (PSSE) is commonly formulated as weighted least-square
(WLS) algorithm and solved using iterative methods such as Gauss-Newton methods …

Parameter Estimation (PE) and State Estimation (SE) are the most wide-spread tasks in the
system engineering. They need to be done automatically, fast and frequently, as …

In a smart grid, state estimation (SE) is a very important component of energy management
system. Its main functions include system SE and detection of cyber anomalies. Recently, it …

Varying power-infeed from converter-based generation units introduces great uncertainty on
system parameters such as inertia and damping. As a consequence, system opera-tors face …

In this paper, a novel distribution system state estimation method based on the information
provided by smart meters to support coordinated voltage control strategies in real time is …

Large scale integration of distributed generation (DG), particularly based on variable
renewable energy sources (RES), in low voltage (LV) distribution networks brings significant …

The solution of the distribution system state estimation (DSSE) relies on the presence of
physical measurements in real time. Sometimes, these measurements may not reach the …