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Statistics report
Nov. 2022
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 115
Paper Published : 1391
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  Journal Paper


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   View Here

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