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Published in:

Volume 8 Issue 2
February-2021
eISSN: 2349-5162

Unique Identifier

JETIR2102192

Page Number

1618-1623

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Title

Performance Analysis & Enhancement of PV System using PSO & GA

ISSN

2349-5162

Cite This Article

"Performance Analysis & Enhancement of PV System using PSO & GA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 2, page no.1618-1623, February-2021, Available :http://www.jetir.org/papers/JETIR2102192.pdf

Abstract

This work presents the performance analysis of Particle Swarm Optimization (PSO) based Photovoltaic (PV) system with Genetic algorithm (GA) system. PV system is widely used in domestic applications as well as grid based applications. They are meeting with lot of challenges but still they provide low pollution. This system uses a boost converter; (MPPT) to be applied to the system to obtain a maximum output power of the PV system. This work provides comparative analysis of PV system using two optimization techniques in terms of their performance parameters. The results are compared with PSO and GA in terms of their performance characteristics. Simulation results are presented using MATLAB/Simulink Tool.

Key Words

PV system, Efficiency, MPTT Controller, PSO Optimization etc.

Cite This Article

"Performance Analysis & Enhancement of PV System using PSO & GA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 2, page no. pp1618-1623, February-2021, Available at : http://www.jetir.org/papers/JETIR2102192.pdf

Publication Details

Published Paper ID: JETIR2102192
Registration ID: 306232
Published In: Volume 8 | Issue 2 | Year February-2021
DOI (Digital Object Identifier):
Page No: 1618-1623
ISSN Number: 2349-5162

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Cite This Article

"Performance Analysis & Enhancement of PV System using PSO & GA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 2, page no. pp1618-1623, February-2021, Available at : http://www.jetir.org/papers/JETIR2102192.pdf




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