This article presents a new method based on meta-heuristic algorithm for maximum power
point tracking (MPPT) in photovoltaic systems. In this new method, the SALP Swarm …

Abstract Particle Swarm Optimizer (PSO) has three main drawbacks in case of partially
shaded photovoltaic systems. First, it converges slowly to the global peak (GP). Second …

Abstract Hybrid Energy Systems (HESs) are offering several advantages over conventional
generation systems because of the rising need for Renewable Energy Resources (RERs) …

Improving photovoltaic systems in terms of temporal responsiveness, lowering steady-state
ripples, high efficiency, low complexity, and decreased tracking time under various …

This paper presents a modified Levy particle swarm optimization (MLPSO) to improve the
capability of maximum power point tracking (MPPT) under various partial shading …

Buck-boost DC–DC converters are useful as DC grid interfaces for renewable energy
resources. In the classical buck-boost converter, output voltages smaller than the input …

The grid-connected converters with two stages are frequently used in renewable energy
technologies and applications. Designing the dc-link voltage management scheme is …

Many advanced techniques efficiently harvest the global maximum power (GMP) of the
photovoltaic (PV) system, including machine learning techniques and metaheuristic …

To combat climate change and achieve global carbon neutrality, photovoltaic (PV) systems
have been widely used in the building sector, particularly in zero-energy buildings. In urban …

A building-integrated photovoltaic (BIPV) system produces power using photovoltaic (PV)
modules as building exterior materials, whose architectural performance serves the same …