Paper Title :An Improved Particle Swarm Optimization Based Maximum Power Point Tracking Algorithm for SPV System
Author :Dileep. G, S. N. Singh
Article Citation :Dileep. G ,S. N. Singh ,
(2017 ) " An Improved Particle Swarm Optimization Based Maximum Power Point Tracking Algorithm for SPV System " ,
International Journal of Advance Computational Engineering and Networking (IJACEN) ,
pp. 1-5,
Volume-5,Issue-6
Abstract : This paper proposes an improved particle swarm optimization (PSO) based MPPT algorithm to improve the
steady state performance. Furthermore, the proposed method has the ability to track MPP effectively under rapidly varying
conditions and partial shading condition (PSC). Formulation of problem, design details and experimental results are
discussed in detail. The proposed technique is independent of the system, it is easy to implement, tracking efficiency is high
and performance under changing atmospheric condition is good. Effectiveness of the proposed method is validated by
analyzing the experimental results obtained from 110 W solar power generation systems.
Keywords- MPPT, PSO, partial shading, photo voltaic generation system.
Type : Research paper
Published : Volume-5,Issue-6
DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-8305
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Copyright: © Institute of Research and Journals
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Published on 2017-08-26 |
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