This paper aims to introduce deep learning to the power quality community by reviewing the
latest applications and discussing the open challenges of this technology. Publications …

Microgrids create conditions for efficient use of integrated energy systems containing
renewable energy sources. One of the major challenges in the control and operation of …

This research investigates implementing and optimizing microgrid energy management
systems (EMS) utilizing artificial intelligence (AI). Inspired by the need for efficient resource …

The paper presents a hierarchical voltage and frequency control framework for peak and off-
peak hours to enhance grid resiliency. The primary control is equipped with dual loop …

The widespread introduction of functionally-smart inverters will be an indispensable factor
for the large-scale penetration of distributed energy resources (DERs) via the power system …

Unevenly distributed loads at different phases may lead to stability issues and incur high
losses in a low inertial microgrid with a rise in Voltage Unbalance (VU). Thus, a suitable …

Technological advancement affects a country's social, political, and transportation
development. Operating system, facilities, and infrastructure all use modern bus technology …

Nowadays, micro-inverters are trending due to the latest features consisting in PV
technology. However, integration of a high-gain boost converter is needed to improve the …

The penetration of renewable energy sources (RES) in a low-inertia, stand-alone microgrid
system is prone to severe stability issues due to the intermittent availability of RES such as …

Microgrid faces power quality issues like voltage and frequency unbalance due to its low
inertia. The limited generation and heterogeneous load switching results in generation …