A Khare, S Rangnekar - Applied Soft Computing, 2013 - Elsevier
Particle swarm optimization is a stochastic optimization, evolutionary and simulating algorithm derived from human behaviour and animal behaviour as well. Special property of …
Particle swarm optimization (PSO) is a popular heuristic method, which is capable of effectively dealing with various optimization problems. A detailed overview of the original …
K Ishaque, Z Salam, G Lauss - Applied Energy, 2014 - Elsevier
With the rapid growth of photovoltaic (PV) systems, stringent standards are envisaged to ensure the safe and efficient generation of power. Therefore, the performance of maximum …
This paper proposes an accurate global maximum power point tracking (MPPT) technique based on Wind Driven Optimization (WDO) algorithm for photovoltaics system (PVS) under …
S Lyden, ME Haque - Renewable and sustainable energy reviews, 2015 - Elsevier
Abstract Maximum Power Point Tracking (MPPT) is an important concern in Photovoltaic (PV) systems. As PV systems have a high cost of energy it is essential that they are operated …
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 …
G Dileep, SN Singh - Renewable and Sustainable Energy Reviews, 2015 - Elsevier
Solar energy is one of the important renewable energy resources as it is pollution free, clean, never-ending and abundant. Solar photovoltaic technologies are mounting vigor …
We propose a new controller for DC-DC converters based on particle swarm optimization (PSO). This new converter controller uses the PSO optimization method to directly control, by …
Maximum Power Point Tracking (MPPT) is an important consideration in Photovoltaic (PV) Systems, particularly as these systems increase in size and are exposed to non-uniform …