Maximum power point tracking (MPPT) is essential in Photovoltaic (PV) systems, which has
drawn significant research effort in the past. The operation is to adjust the power interfaces …

Under partial shading conditions, photovoltaic (PV) arrays exhibit multiple local maximum
power points and a single global maximum power point in the PV characteristics curves …

This paper proposes a novel bio-inspired optimization method named memetic salp swarm
algorithm (MSSA). It is developed by extending the original salp swarm algorithm (SSA) with …

Abstract Maximum Power Point Tracking (MPPT) algorithms have developed to minimise the
effect of the atmospheric changes. Partial shading conditions (PSCs) are an important cause …

Recently depletion of fossil fuels and environmental concerns triggered the extensive
research on alternative energy resources, paricularly solar energy. The power of PV systems …

In this paper, a hybrid of bio-inspired control algorithm to track the maximum power point of
photovoltaic (PV) system under partial shading conditions is proposed. Particle swarm …

This paper aims at exploring different approaches utilized to track the Maximum operating
Power Point (MPP) of PV (Photovoltaic) modules, fulfilling the largest amount of available …

In this paper, a novel hybrid Maximum Power Point Tracking (MPPT) algorithm using Particle-
Swarm-Optimization-trained machine learning and Flying Squirrel Search Optimization …

Because of dust, trees, high buildings in the surrounding area, partial shading conditions
(PSC) occur in photovoltaic (PV) systems. This condition affects the power output of the PV …

Partial shading conditions lead to power mismatches among photovoltaic (PV) panels,
resulting in the generation of multiple peak power points on the PV curve. At this point …