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Overview of Genetic Algorithm Technique for maximum Power Point Tracking (MPPT) of Solar PV System

Published on July 2015 by Alok Kumar, Amit Kumar, Ranjana Arora
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Innovations in Computing and Information Technology (Cognition 2015)
Foundation of Computer Science USA
COGNITION2015 - Number 3
July 2015
Authors: Alok Kumar, Amit Kumar, Ranjana Arora
0d5de9f1-fb83-496e-b866-6b8a18e2557f

Alok Kumar, Amit Kumar, Ranjana Arora . Overview of Genetic Algorithm Technique for maximum Power Point Tracking (MPPT) of Solar PV System. Innovations in Computing and Information Technology (Cognition 2015). COGNITION2015, 3 (July 2015), 21-24.

@article{
author = { Alok Kumar, Amit Kumar, Ranjana Arora },
title = { Overview of Genetic Algorithm Technique for maximum Power Point Tracking (MPPT) of Solar PV System },
journal = { Innovations in Computing and Information Technology (Cognition 2015) },
issue_date = { July 2015 },
volume = { COGNITION2015 },
number = { 3 },
month = { July },
year = { 2015 },
issn = 0975-8887,
pages = { 21-24 },
numpages = 4,
url = { /proceedings/cognition2015/number3/21903-2150/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Innovations in Computing and Information Technology (Cognition 2015)
%A Alok Kumar
%A Amit Kumar
%A Ranjana Arora
%T Overview of Genetic Algorithm Technique for maximum Power Point Tracking (MPPT) of Solar PV System
%J Innovations in Computing and Information Technology (Cognition 2015)
%@ 0975-8887
%V COGNITION2015
%N 3
%P 21-24
%D 2015
%I International Journal of Computer Applications
Abstract

The power generation capacity of solar photovoltaic systems (SPV) depends on input solar radiation (insolation) and ambient temperature. To improve the design efficiency of the system, maximum power point tracking (MPPT) techniques has to be utilized while installing SPV systems. A comparative analysis of three maximum power point tracking techniques for solar photovoltaic systems has been presented in this paper. Along with this, various advantages of using genetic algorithm (GA) as a MPPT approach for SPV systems has been projected. The proposed methods are taken from the literature from previous research articles to the earliest applied ones and it has been revealed that three distinct methods are implemented with number of variations. The present study can become a bench mark for designing of practical SPV systems with considerable improvement in efficiency.

References
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  5. Houssamo, I. , Locment, F. , Sechilariu, M. 2010. Maximum power tracking for photovoltaic power system :Development and exprimental comparison of two algorithms, Renewable Energy, Vol. 35 no. 10, pp 2381-2387.
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  8. Goldberg, D. 1992. Genetic algorithm in Search, optimization and machine learning", Addison-Wesley.
Index Terms

Computer Science
Information Sciences

Keywords

Solar Pv System Open Circuit Voltage Short Circuit Current.