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 …

In power transmission systems, the false data injection (FDI) attacks against state estimation
(SE) have been well studied. However, due to the unique features of power distribution …

High shares of renewable energy resources are increasing the value of using demand
response (DR) mechanisms to enhance the resiliency and efficiency of power system …

State estimation (SE) is regarded as an essential tool for achieving the secure and efficient
operation of distribution networks, and extensive research on SE has been conducted over …

Distribution system state estimation (DSSE) has recently been tested and experimentally
deployed in some practical distribution networks. Distinct features of distribution systems …

The increasing penetration of PVs causes challenges in maintaining voltage security due to
the lack of distribution system visibility. This article proposes a deep multi-fidelity Bayesian …

Abstract Low Voltage Distribution Grids (LVDGs) become highly unbalanced due to the
advent of single-phase solar PV plants. As a result, the voltage and current levels of the …

The efforts to build smarter grids with automatic control and intelligent functionalities for
Distribution Systems (DSs) rely upon correctly determining the operational condition of these …

Battery energy storage systems (BESSs) are expected to play a crucial role in the operation
and control of active distribution networks (ADNs). In this paper, a holistic state estimation …

Enhancing situational awareness of distribution networks is a requirement of Smart Grids. In
order to fulfill this requirement, specialized algorithms have been developed to perform …