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Optimization of photovoltaic module electrical characteristics using genetic algorithm

International Postgraduate Conference On Engineering (IPCE 2010), 16th - 17th October 2010 organized by Centre for Graduate Studies, Universiti Malaysia Perlis (UniMAP) at School of Mechatronic Engineering, Pauh Putra Campus, Perlis, Malaysia.

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Bibliographic Details
Main Authors: Muhammad Irwanto, Ismail, Daut, Prof. Dr., Merdang, Sembiring, Dr. Ir., Rosnazri, Ali, Dina Maizana, Maiz Ahmad
Other Authors: irwanto@unimap.edu.my
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2012
Subjects:
Solar irradiance
Temperature
PV module
Electrical characteristics
Genetic algorithm
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/21207
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spelling my.unimap-212072012-10-02T14:59:48Z Optimization of photovoltaic module electrical characteristics using genetic algorithm Muhammad Irwanto Ismail, Daut, Prof. Dr. Merdang, Sembiring, Dr. Ir. Rosnazri, Ali Dina Maizana, Maiz Ahmad irwanto@unimap.edu.my merdang@unimap.edu.my Solar irradiance Temperature PV module Electrical characteristics Genetic algorithm International Postgraduate Conference On Engineering (IPCE 2010), 16th - 17th October 2010 organized by Centre for Graduate Studies, Universiti Malaysia Perlis (UniMAP) at School of Mechatronic Engineering, Pauh Putra Campus, Perlis, Malaysia. This paper presents the optimization of PV module electrical characteristics using genetic algorithm (GA). A mathematical modeling was used to characterize the electrical characteristics of PV module. A 180 W, 30 V, Sharp mono-crystal silicon PV module (NUS0E3E) was used in this paper. This PV module consists of 48 solar cells configured in series strings. Under constant temperature and different solar irradiance were tested to the PV module using GA, its electrical characteristics shown in curves and compared to the data sheet and a reference and also 3-dimensional diagram as function of both solar irradiance and temperature shown and discussed. The result shows that the comparison of simulation results using GA with data sheet of current-voltage and power-voltage curve illustrates a good correlation, if the temperature constant and solar irradiance increase will cause the short circuit current, open circuit voltage, maximum power and efficiency increase. 2012-10-02T14:59:48Z 2012-10-02T14:59:48Z 2010-10-16 Working Paper 978-967-5760-03-7 http://hdl.handle.net/123456789/21207 en Proceedings of the International Postgraduate Conference on Engineering (IPCE 2010) Universiti Malaysia Perlis (UniMAP) Centre for Graduate Studies
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Solar irradiance
Temperature
PV module
Electrical characteristics
Genetic algorithm
spellingShingle Solar irradiance
Temperature
PV module
Electrical characteristics
Genetic algorithm
Muhammad Irwanto
Ismail, Daut, Prof. Dr.
Merdang, Sembiring, Dr. Ir.
Rosnazri, Ali
Dina Maizana, Maiz Ahmad
Optimization of photovoltaic module electrical characteristics using genetic algorithm
description International Postgraduate Conference On Engineering (IPCE 2010), 16th - 17th October 2010 organized by Centre for Graduate Studies, Universiti Malaysia Perlis (UniMAP) at School of Mechatronic Engineering, Pauh Putra Campus, Perlis, Malaysia.
author2 irwanto@unimap.edu.my
author_facet irwanto@unimap.edu.my
Muhammad Irwanto
Ismail, Daut, Prof. Dr.
Merdang, Sembiring, Dr. Ir.
Rosnazri, Ali
Dina Maizana, Maiz Ahmad
format Working Paper
author Muhammad Irwanto
Ismail, Daut, Prof. Dr.
Merdang, Sembiring, Dr. Ir.
Rosnazri, Ali
Dina Maizana, Maiz Ahmad
author_sort Muhammad Irwanto
title Optimization of photovoltaic module electrical characteristics using genetic algorithm
title_short Optimization of photovoltaic module electrical characteristics using genetic algorithm
title_full Optimization of photovoltaic module electrical characteristics using genetic algorithm
title_fullStr Optimization of photovoltaic module electrical characteristics using genetic algorithm
title_full_unstemmed Optimization of photovoltaic module electrical characteristics using genetic algorithm
title_sort optimization of photovoltaic module electrical characteristics using genetic algorithm
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/21207
_version_ 1643793306047479808
score 13.214268

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