In this paper, two new Artificial Neural Network MPPT controllers based on fixed and
variable step size have been proposed and investigated. The data required to generate the …

With the availability of powerful and low cost computing power, maximum power point
tracking (MPPT) that utilizes soft computing (SC) techniques are attracting substantial …

Concerns over environment and increased demand of energy have led the world to think
about alternate energy sources such as wind, hydro, solar and fuel cells. Out of these …

This paper proposes a methodology of designing a Maximum Power Point Tracking (MPPT)
controller for photovoltaic systems (PV) using a Fuzzy Gain Scheduling of Proportional …

Owing to the rapid developments in the semiconductor and power electronics techniques,
Photovoltaic energy is one of the interest area of concern in electrical power applications …

Over the past few decades, the world demand for energy has risen steadily, forcing the world
communities to look for alternative sources. Photovoltaic (PV) is seen as the most promising …

Conventional maximum power point tracking (MPPT) algorithms fails to track peak power
from a solar photovoltaic panel (SPV) effectively under rapidly changing atmospheric and …

Partially shaded photovoltaic (PV) modules have multiple peaks in the power‐voltage (PV)
characteristic curve and conventional maximum power point tracking (MPPT) algorithm …

In the last decade, many artificial intelligence (AI) techniques have been used to solve
various problems in sustainable energy (SE). Consequently, an increasing volume of …

This paper presents a new global maximum power point tracking (GMPPT) scheme for solar
PV system. The presented scheme is based on the swarm intelligence operated optimization …