This work presents a unique application of affine projection like M-estimate adaptive filtering
technique. Affine projection like M-estimate adaptive filter has been used to control the …

Autonomous microgrids supply power to large remote areas, where access to the grid is
infeasible. The generation of these microgrids is highly dominated by renewable energy …

The microgrid concept provides a flexible power supply to the utility where the conventional
grid is unable to supply. The microgrid structure is based on renewable energy sources …

In this study, a novel blended state estimated adaptive controller is designed for voltage and
current control of microgrid against unknown noise. The core feature of the microgrid (MG) is …

The increasing prevalence of photovoltaic (PV)-wind-battery-based microgrids and their
integration into distribution networks have brought new challenges in grid ancillary services …

A DC microgrid is an efficient way to combine diverse sources; conventional droop control is
unable to achieve both accurate current sharing and required voltage regulation. This paper …

A novel “Smart Branch” is introduced in this paper which compensates for various power
quality disturbances. This “Smart Branch” includes a series transformer which its impedance …

This manuscript proposes an Adaptive Linear Neural Network (ADALINE) based control for
the unified power quality conditioner to protect the critical loads from voltage related power …

To mitigate the power quality issue in microgrids, a new online reference control strategy for
distribution static compensator using the reinforcement learning algorithm is presented. The …

This paper presents two unique smart branch controller for compensating several power
quality disturbances. The first proposed intelligent branch controller comprises a series …