Power system is gradually developed into a power electronic based power system and
exists various power quality problems, which promotes the development of active power …

Power quality (PQ) has become an important topic in today's power system scenario. PQ
issues are raised not only in normal three-phase systems but also with the incorporation of …

High step-up DC/DC converter and maximum power point tracking (MPPT) control are
essential components in photovoltaic (PV) systems. For the purpose of utilizing PV module …

In this article, a wavelet fuzzy neural network controller with a supertwisting sliding mode
controller (WFNNCSTSMC) is developed to control the harmonics and improve the power …

This article proposes an adaptive type-2 fuzzy neural network control system to enhance the
performance of power quality improvement. First, the dynamic model of APF with lumped …

Aging and temperature changes in the passive components of an LCL-filter grid connected
converter system (GCCs) may lead to parameter uncertainties, which can in turn influence its …

This study develops an intelligent global sliding mode control using recurrent feature
selection neural network for active power filter (APF). First, the dynamic model of an APF is …

This article presents a finite-set model predictive control (FS-MPC) applied to the shunt
active power filters (SAPF) based on three-phase inverters connected in parallel sharing the …

Grid-forming inverters (GFI) play an important role as power interfaces for distributed
generation units in islanded microgrids, where inductive-capacitive-inductive (LCL) output …

A new approach to performance validation of finite control set model predictive control (FCS-
MPC) regulated power electronics converters is presented in this paper: statistical model …