Maximum Power Prediction for PV System based on P&O Algorithm

This research presents a maximum power point tracking (MPPT) controller for PV systems is proposed. The developing of the proposed controller is based on conventional P&O algorithm and an Artificial Neural Network. The voltage of the optimum PV system is predicted by using ANN as a controller in...

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Main Authors:	Mushtaq, Al-Duliamy, Hojabri, Mojgan, Hamdan, Daniyal, Ali Mahmood, Humada
Format:	Article
Language:	English
Published:	Academic Research Online Publisher 2015
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/10161/ http://umpir.ump.edu.my/id/eprint/10161/ http://umpir.ump.edu.my/id/eprint/10161/1/Maximum%20Power%20Prediction%20for%20PV%20System%20based%20on%20P%26O%20Algorithm.pdf

id	ump-10161
recordtype	eprints
spelling	ump-101612018-01-09T06:39:45Z http://umpir.ump.edu.my/id/eprint/10161/ Maximum Power Prediction for PV System based on P&O Algorithm Mushtaq, Al-Duliamy Hojabri, Mojgan Hamdan, Daniyal Ali Mahmood, Humada TK Electrical engineering. Electronics Nuclear engineering This research presents a maximum power point tracking (MPPT) controller for PV systems is proposed. The developing of the proposed controller is based on conventional P&O algorithm and an Artificial Neural Network. The voltage of the optimum PV system is predicted by using ANN as a controller in order to get the maximum point of power (MPP). The three inputs for the modelled ANN are temperature coefficients, ambient temperature, and solar radiation. While, the output voltage represents the ANN output node. The simulation result shows that ANN much faster than P&Q algorithm in which the output voltage prediction is take 4.91 second as compared to conventional P&O algorithm which is 9.69 second. Academic Research Online Publisher 2015 Article PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/10161/1/Maximum%20Power%20Prediction%20for%20PV%20System%20based%20on%20P%26O%20Algorithm.pdf Mushtaq, Al-Duliamy and Hojabri, Mojgan and Hamdan, Daniyal and Ali Mahmood, Humada (2015) Maximum Power Prediction for PV System based on P&O Algorithm. Journal of Advanced & Applied Sciences (JAAS), 3 (4). pp. 113-118. ISSN 2289-6260 http://www.aropub.org/wp-content/uploads/2015/08/Electronic-NCON-PGR-E02-030.pdf
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Mushtaq, Al-Duliamy Hojabri, Mojgan Hamdan, Daniyal Ali Mahmood, Humada Maximum Power Prediction for PV System based on P&O Algorithm
description	This research presents a maximum power point tracking (MPPT) controller for PV systems is proposed. The developing of the proposed controller is based on conventional P&O algorithm and an Artificial Neural Network. The voltage of the optimum PV system is predicted by using ANN as a controller in order to get the maximum point of power (MPP). The three inputs for the modelled ANN are temperature coefficients, ambient temperature, and solar radiation. While, the output voltage represents the ANN output node. The simulation result shows that ANN much faster than P&Q algorithm in which the output voltage prediction is take 4.91 second as compared to conventional P&O algorithm which is 9.69 second.
format	Article
author	Mushtaq, Al-Duliamy Hojabri, Mojgan Hamdan, Daniyal Ali Mahmood, Humada
author_facet	Mushtaq, Al-Duliamy Hojabri, Mojgan Hamdan, Daniyal Ali Mahmood, Humada
author_sort	Mushtaq, Al-Duliamy
title	Maximum Power Prediction for PV System based on P&O Algorithm
title_short	Maximum Power Prediction for PV System based on P&O Algorithm
title_full	Maximum Power Prediction for PV System based on P&O Algorithm
title_fullStr	Maximum Power Prediction for PV System based on P&O Algorithm
title_full_unstemmed	Maximum Power Prediction for PV System based on P&O Algorithm
title_sort	maximum power prediction for pv system based on p&o algorithm
publisher	Academic Research Online Publisher
publishDate	2015
url	http://umpir.ump.edu.my/id/eprint/10161/ http://umpir.ump.edu.my/id/eprint/10161/ http://umpir.ump.edu.my/id/eprint/10161/1/Maximum%20Power%20Prediction%20for%20PV%20System%20based%20on%20P%26O%20Algorithm.pdf
first_indexed	2023-09-18T22:09:29Z
last_indexed	2023-09-18T22:09:29Z
_version_	1777414930915393536

Maximum Power Prediction for PV System based on P&O Algorithm

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