Originally, ancillary services (ASs) were provided by large-scale power plants to ensure the
secure and reliable operation of power systems. However, with the advent of renewable …

Abstract System identification is becoming a relevant research area for numerous
applications in power grids due to the increasing complexity of the system. A paradigm shift …

This paper introduces an algorithm able to detect and localize the occurrence of a fault in an
Active Distribution Network, using the measurements collected by Phasor Measurement …

At present, the entire world is moving towards digitalization, including in the electric power
industry. Digitalization is in its heyday and a lot of articles and reports are devoted to this …

A reduced-order,“grey-box” model of an active distribution network, intended for dynamic
simulations of the transmission system, is derived. The network hosts inverter-based …

The development of realistic dynamic models for active distribution networks (ADNs) is a
challenging problem faced by both the transmission system operators and academia due to …

The creation of a decentralized low-carbon energy infrastructure is the main trend in the
development of the electric power industry in many countries. Distributed generation …

In the parameter identification of power transmission system, deep learning methods stand
out because of its effectiveness and robustness. However, deep learning methods usually …

Modern gas-turbine units (GTUs) and gas-reciprocating units (GRUs) have found a wide use
at power plants, including distributed generation facilities, running on gaseous fuel. The …

Today, electricity companies worldwide use digital devices. Their use is commonplace in the
grid, whether it is electricity generation, transmission or distribution. Power distribution …