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

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 …

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 …

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 …

It is necessary to have an energy management system based on one or more control
strategies to sense, monitor, and control the behavior of the hybrid energy sources. In …

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 …

Renewable energy utilization is the only suitable solution to diminish the increasing level of
greenhouse gas emissions, fuel costs, and energy crisis in the next generation. Out of many …

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 …

A novel statistical performance evaluation of most modern optimization-based global MPPT
techniques for partially shaded PV system is presented in this paper. In recent years, there …

The characteristics of photovoltaic array under partial shading comprises multiple local
MPPs and one global. The classical maximum power point tracking (MPPT) algorithms can't …