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Comparison of ANN and P&O MPPT methods for PV applications under changing solar irradiation

This paper presents an artificial neural network (ANN) maximum power point tracking (MPPT) method which is fast and precise in finding and tracking the maximum power point (MPP) in photovoltaic (PV) applications, under rapidly changing of solar irradiation, and is stable under slowly changing of...

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Main Authors: Khanaki, Razieh, Marhaban, Mohammad Hamiruce, Mohd Radzi, Mohd Amran
Format: Conference or Workshop Item
Published: IEEE 2013
Online Access:http://psasir.upm.edu.my/id/eprint/41481/
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spelling my.upm.eprints.414812016-01-28T02:39:41Z http://psasir.upm.edu.my/id/eprint/41481/ Comparison of ANN and P&O MPPT methods for PV applications under changing solar irradiation Khanaki, Razieh Marhaban, Mohammad Hamiruce Mohd Radzi, Mohd Amran This paper presents an artificial neural network (ANN) maximum power point tracking (MPPT) method which is fast and precise in finding and tracking the maximum power point (MPP) in photovoltaic (PV) applications, under rapidly changing of solar irradiation, and is stable under slowly changing of solar irradiation. ANN and P&O MPPT algorithms, and other components of the MPPT control system which are PV module and DC-DC boost converter, are simulated in MATLABSimulink, and their performances under rapidly and slowly changing of solar irradiation are compared as well. Simulation results show that ANN method has very fast and more precise response under fast changes of solar irradiation. In addition, this method performs with less power oscillation under constant or slow changes of solar irradiation. IEEE 2013 Conference or Workshop Item NonPeerReviewed Khanaki, Razieh and Marhaban, Mohammad Hamiruce and Mohd Radzi, Mohd Amran (2013) Comparison of ANN and P&O MPPT methods for PV applications under changing solar irradiation. In: IEEE Conference on Clean Energy and Technology (CEAT 2013), 18-20 Nov. 2013 , Langkawi, Kedah, Malaysia. (pp. 287-292). 10.1109/CEAT.2013.6775642
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
description This paper presents an artificial neural network (ANN) maximum power point tracking (MPPT) method which is fast and precise in finding and tracking the maximum power point (MPP) in photovoltaic (PV) applications, under rapidly changing of solar irradiation, and is stable under slowly changing of solar irradiation. ANN and P&O MPPT algorithms, and other components of the MPPT control system which are PV module and DC-DC boost converter, are simulated in MATLABSimulink, and their performances under rapidly and slowly changing of solar irradiation are compared as well. Simulation results show that ANN method has very fast and more precise response under fast changes of solar irradiation. In addition, this method performs with less power oscillation under constant or slow changes of solar irradiation.
format Conference or Workshop Item
author Khanaki, Razieh
Marhaban, Mohammad Hamiruce
Mohd Radzi, Mohd Amran
spellingShingle Khanaki, Razieh
Marhaban, Mohammad Hamiruce
Mohd Radzi, Mohd Amran
Comparison of ANN and P&O MPPT methods for PV applications under changing solar irradiation
author_facet Khanaki, Razieh
Marhaban, Mohammad Hamiruce
Mohd Radzi, Mohd Amran
author_sort Khanaki, Razieh
title Comparison of ANN and P&O MPPT methods for PV applications under changing solar irradiation
title_short Comparison of ANN and P&O MPPT methods for PV applications under changing solar irradiation
title_full Comparison of ANN and P&O MPPT methods for PV applications under changing solar irradiation
title_fullStr Comparison of ANN and P&O MPPT methods for PV applications under changing solar irradiation
title_full_unstemmed Comparison of ANN and P&O MPPT methods for PV applications under changing solar irradiation
title_sort comparison of ann and p&o mppt methods for pv applications under changing solar irradiation
publisher IEEE
publishDate 2013
url http://psasir.upm.edu.my/id/eprint/41481/
_version_ 1643833009768497152
score 13.211869

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