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Statistics report
Feb. 2020
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 83
Paper Published : 1216
No. of Authors : 3056
  Journal Paper

Paper Title
An Improved Particle Swarm Optimization Based Maximum Power Point Tracking Algorithm for SPV System

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.


Author - Dileep. G, S. N. Singh

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| Published on 2017-08-26
   
   
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