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

Monitoring, detection, and measurement are vital in the energy system to facilitate better
wide-ranging protection, control, and operation. In this regard, to offer a better operational …

The use of distributed generation has received wide attention due to low maintenance costs,
reduced transmission line losses and network congestion, as well as minimal impact on …

The bidirectional flow of electrical power has mandated the monitoring of the distribution
system (DS) in real-time using synchronized data to overcome problems linked to grid …

An artificial neural network (ANN) is an effective and efficient approach for solving problems,
which require fast and complicated computation. The study proposed a PMU measurement …

Micro-phasor measurement units (µPMUs) with a micro-second resolution and milli-degree
accuracy capability are expected to play an important role in improving the state estimation …

Due to the lack of data in active distribution networks, employing new accurate
measurement devices like phasor measurement units (PMUs) and micro‐PMUs with a high …

Optimal PMU placement (OPP) problem is one of the most important issues in wide area
measurement systems (WAMS). Delivering the measured data to the control center is …

Increased penetration of low‐carbon technologies, such as residential photovoltaic systems,
electric vehicles, and batteries, can potentially cause voltage quality issues in distribution …

Due to low levels of observability and automation in active distribution networks (ADNs), the
deployment of accurate measurement devices would be inevitable to increase the network …