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Published in:

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

Unique Identifier

JETIRCQ06038

Page Number

212-218

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Title

Artificial Intelligence Based MPPT techniques for Solar PV System: A Review

ISSN

2349-5162

Cite This Article

"Artificial Intelligence Based MPPT techniques for Solar PV System: A Review ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.212-218, May - 2019, Available :http://www.jetir.org/papers/JETIRCQ06038.pdf

Abstract

A solar photovoltaic (PV) power generation system (SPPGS) is be important as energy sources because its benefits. In the large SPPGS, the partial shaded condition (PSC) is occurs and its effect is highly decrease efficiency of SPPGS. Under PSC, the multiple peaks in P-V characteristics, that condition conventional maximum power point tracking (MPPT) techniques not able to achieve maximum power point (MPP) in such a case. The artificial intelligence (AI) based MPPT (AI-MPPT) methods are faster, reliable in performance and improve the efficiency of SPPGS. In this paper different AI based MPPT techniques are review and compare different techniques on the bases of tracking speed or time, oscillation, efficiency and limitation.

Key Words

Maximum power point tracking, artificial intelligence , Particle swarm optimization, Ant- colony optimization, Artificial neural network , Fuzzy logic control.

Cite This Article

"Artificial Intelligence Based MPPT techniques for Solar PV System: A Review ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp212-218, May - 2019, Available at : http://www.jetir.org/papers/JETIRCQ06038.pdf

Publication Details

Published Paper ID: JETIRCQ06038
Registration ID: 217263
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 212-218
ISSN Number: 2349-5162

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Cite This Article

"Artificial Intelligence Based MPPT techniques for Solar PV System: A Review ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp212-218, May - 2019, Available at : http://www.jetir.org/papers/JETIRCQ06038.pdf




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