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 …

In this paper, a real-time state estimation platform for distribution grids monitored by Phasor
Measurement Units (PMUs) is developed, tested, and validated using Real Time Digital …

This paper introduces a network topology identification (TI) method based on deep neural
networks (DNNs) for online applications. The proposed TI DNN utilizes the set of …

An electric power distribution system is operated in several distinct radial topologies by
opening and closing of system's sectionalizing and tie switches. The estimation of the …

With the integration of intermittent renewable energy sources in the distribution network, the
number of network reconfiguration events has increased significantly. In a medium voltage …

Machine learning (ML) and pattern matching (PM) are powerful computer science
techniques which can derive knowledge from big data, and provide prediction and matching …

The advent of smart power grid, which plays a vital role in the upcoming smart city era, is
accompanied with the implementation of a monitoring tool, called state estimation (SE). For …

Abstract Transmission line (TL) Parameter Identification (PI) method plays an essential role
in the transmission system. The existing PI methods usually have two limitations:(1) These …

To achieve higher accuracy of estimated dynamic states, phasor measurement unit (PMU)
measurements of buses in a network can be used for dynamic state estimation (DSE) …