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Evaluation of particle swarm optimization algorithm in photovoltaic applications
Malarvizhi E, Kamala J,
Published in IEEE
Solar energy is the prime source of consumption for the world. It is the potential candidate for meeting the growing energy demand and solving environmental issues. To derive the maximum Power (MP) from the system, Maximum Power Point Tracking (MPPT) methods are implemented. It is highly essential to derive MP from the available solar energy. Over the years, numerous MPPT methods have been developed and presented in the literature. This paper discusses the evaluation of Particle Swarm Optimization (PSO) algorithm in MPPT based solar power generation systems. It describes the different methodologies adopted to extract the maximum power from the solar array in photovoltaic (PV) power systems. © 2016 IEEE.
About the journal
JournalData powered by Typeset2016 10th International Conference on Intelligent Systems and Control (ISCO)
PublisherData powered by TypesetIEEE
Open AccessNo