As the smart grid evolves, it requires increasing distributed intelligence, optimization and
control. Model predictive control (MPC) facilitates these functionalities for smart grid …

To enhance the photovoltaic (PV) power-generation conversion, maximum power point
tracking (MPPT) is the foremost constituent. This article introduces an adaptive neuro-fuzzy …

This paper systematically analyzes the islanding performance under different case studies
and scenarios of the most well-known active islanding detection methods (IDMs) for single …

This paper deals the grid integration of photovoltaic (PV), fuel cell, and ultra-capacitor with
maximum power point tracking (MPPT). The voltage oriented control for the grid-integrated …

This research work presents a modified sine-cosine optimized maximum power point
tracking (MPPT) algorithm for grid integration. The developed algorithm provides the …

This paper introduces a novel control system with maximum power point tracker (MPPT) for
the photovoltaic system with grid integration. Hybrid adaptive neuro-fuzzy inference system …

Dynamic performance of maximum power point tracking (MPPT) algorithms is important to
ensure high-power output under practical operating conditions. In this article, after reviewing …

In recent times, photovoltaic (PV) power generation has been growing due to increase in
energy demand. In grid-connected mode, achieving maximum power (MP) from the PV array …

This article proposes an improved maximum power point tracking (MPPT) method that
features a simple design, and improved efficiency in fast-changing irradiance conditions …

This article addresses the problem of stabilization of dc–dc converters feeding constant
power loads (CPLs). An explicit model predictive control is developed based on an average …