Sustainable microgrids are powered by renewable energy sources (eg, solar PV and wind
energy), and these support the reliability, resilience, and the decarbonization of the electrical …

This research paper presents a novel approach to current control in Grid-Connected
Inverters (GCI) using Deep Reinforcement Learning (DRL) based Twin Delayed Deep …

It is a big challenge for current source converter (CSC) to ensure the desired tracking
performance, robustness, and immunity simultaneously in the presence of resonance …

The parameter variations in the microgrid models including internal and external faults,
modelling uncertainties, unexpected changes in load or disturbances and harmonic currents …

DC microgrids have drawn extensive research interests. It is of great significance to obtain
fast voltage dynamics and large signal stability when feeding constant power loads (CPLs) …

Virtual synchronous generators (VSGs) are comprised of an outer power loop and inner
cascaded control loops. The dynamic performance of the output interface is severely …

In this article, a single-side-current feedback-based sliding-mode active dam** (AD)
control is proposed for high-speed permanent magnet synchronous machines with sine …

To address the issues of high computational load and slow dynamic performance in
traditional fractional-order sliding mode control for LCL-type grid-connected inverters, this …

Grid-forming (GFM) inverters have the advantages of voltage and frequency support in weak
grid. However, unlike grid-following inverters, GFM inverters present a more challenging …

This paper proposes a passivity-based sliding mode current control (PBSMCC) for
addressing challenges in stable grid-following operation of the modular multilevel converter …