The entire article has been dedicated to cover the current state of the art in bidirectional DC-
DC converter topologies and its smart control algorithms, identified the research gaps and …

Abstract Electric Vehicles (EVs) are transforming the transportation sector, and their
integration with the grid is crucial for a sustainable energy future. EVs can serve as …

Model predictive control (MPC) has been used widely in power electronics due to its simple
concept, fast dynamic response, and good reference tracking. However, it suffers from …

In this article, a dual deep neural network (DDNN) based cyber-attack detection and
correction method for direct current microgrids (DCMG) are proposed. DCMG are prone to …

This paper proposes an end-to-end () learning-based control policy to directly control a
transformerless grid-tied three-level neutral-point-clamped (3L-NPC) inverter powered by a …

This research proposes an improved finite control set direct power model predictive control
method (FCS-DPMPC) for grid-tie distributed generation (DG). FCS-DPMPC predicts the …

DC‐DC converters are essential for integrating distributed energy resources into microgrid
(MG) systems. These converters are designed to incorporate intermittent renewable energy …

In recent times, DC microgrids (MGs) have received significant attention due to
environmental concerns and the demand for clean energies. Energy storage systems …

Hybrid energy systems (HESs) are integrated systems that have successfully addressed the
problems of meeting the increasing demand for electrical power. Like all known power …

In this work, a new PID controller design structure is developed for the DC/DC Boost
converter's output voltage control. The DC/DC Boost converter model is an electronic circuit …