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Implementation of Enhanced Global Search Particle Swarm Optimization Algorithm for Photovoltaic Systems
Malarvizhi E, Kamala J, Kamala J, , Jeffine Bene J, Malarvizhi E, , Jeffine Bene J
Published in IEEE
Pages: 546 - 552
Solar Power is the potential alternative to other sources of energy due to its pure and readily available nature. Solar power wattage is not always wonted or constant. It is due to its unaccustomed multi-peak power voltage characteristics exhibited by a variable swing in environmental conditions and shading effects. Swarm Intelligence has been playing a vital role in optimization problem owing to its intelligibility and directness. This article presents an Inertia Modified Particle Swarm Optimization (IM-PSO) algorithm for photovoltaic power extraction. The proposed method helps to keep track of the maximum power point in lesser effort thereby ensuring proper maximum power. The algorithm is modeled and simulated in MATLAB/SIMULINK environment. The results prove it especial to other traditional techniques. © 2019 IEEE.
About the journal
JournalData powered by Typeset2019 Fifth International Conference on Science Technology Engineering and Mathematics (ICONSTEM)
PublisherData powered by TypesetIEEE
Open AccessNo