Renewable energy-based solar photovoltaic (PV) generation is the best alternative for
conventional energy sources because of its natural abundance and environment friendly …

Standalone photovoltaic (SAPV) systems have been considered as promising and fast
development renewable energy sources due to free-noise, easy availability, and low-cost …

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 …

Maximum power extraction from the photovoltaic (PV) system plays a critical role in
increasing efficiency during partial shading conditions (PSC's). The higher cost and low …

Energy management is one of the main challenges in Microgrids (MGs) applied to Smart
Buildings (SBs). Hence, more studies are indispensable to consider both modeling and …

This paper is designed to undertake a comprehensive review on state-of-the-art maximum
power point tracking (MPPT) methods of photovoltaic (PV) systems under partial shading …

This study presents a novel maximum power point tracking (MPPT) algorithm via dynamic
leader based collective intelligence (DLCI) of PV systems affected by partial shading …

Against the pressing challenges of climate change and fossil fuel depletion, renewable
energy sources such as solar photovoltaics (PV) are considered a clean and sustainable …

Solar photovoltaic technology has emerged with exceptionally high potential future energy
contributor to a scale of multi-terawatt sustainability sector by mid-century 2050. Assuming …

Maximum power point tracking (MPPT) control techniques play a vital role in efficiency
improvement of photovoltaic (PV) systems. It is mainly used to extract maximum possible …