A soft computing MPPT for PV system based on cuckoo search algorithm

A soft computing MPPT for PV system based on cuckoo search algorithm

This paper presents a novel approach to determine the maximum power point (MPP) in Photovoltaic (PV) System using the Cuckoo Search (CS) algorithm. In CS, three samples of voltage are generated randomly over the span of the PV voltage. Based on the Le'vy distribution, the voltage samples are di...

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Main Authors: Ahmed, J., Salam, Z.
Format: Conference or Workshop Item
Published: 2013
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/50866/
http://dx.doi.org/10.1109/PowerEng.2013.6635669
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Institution: Universiti Teknologi Malaysia
id my.utm.50866
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spelling my.utm.508662017-09-14T06:51:09Z http://eprints.utm.my/id/eprint/50866/ A soft computing MPPT for PV system based on cuckoo search algorithm Ahmed, J. Salam, Z. TK Electrical engineering. Electronics Nuclear engineering This paper presents a novel approach to determine the maximum power point (MPP) in Photovoltaic (PV) System using the Cuckoo Search (CS) algorithm. In CS, three samples of voltage are generated randomly over the span of the PV voltage. Based on the Le'vy distribution, the voltage samples are directed towards the best solution and on the basis of power comparison, the best position is found. The algorithm is simulated using MATLAB and compared to the conventional P&O method. It exhibits very fast convergence with zero steady state oscillation. In addition, it tracks the MPP perfectly when PV system is subjected to rapid changes of atmospheric condition. 2013 Conference or Workshop Item PeerReviewed Ahmed, J. and Salam, Z. (2013) A soft computing MPPT for PV system based on cuckoo search algorithm. In: International Conference On Power Engineering, Energy And Electrical Drives. http://dx.doi.org/10.1109/PowerEng.2013.6635669
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Ahmed, J.
Salam, Z.
A soft computing MPPT for PV system based on cuckoo search algorithm
description This paper presents a novel approach to determine the maximum power point (MPP) in Photovoltaic (PV) System using the Cuckoo Search (CS) algorithm. In CS, three samples of voltage are generated randomly over the span of the PV voltage. Based on the Le'vy distribution, the voltage samples are directed towards the best solution and on the basis of power comparison, the best position is found. The algorithm is simulated using MATLAB and compared to the conventional P&O method. It exhibits very fast convergence with zero steady state oscillation. In addition, it tracks the MPP perfectly when PV system is subjected to rapid changes of atmospheric condition.
format Conference or Workshop Item
author Ahmed, J.
Salam, Z.
author_facet Ahmed, J.
Salam, Z.
author_sort Ahmed, J.
title A soft computing MPPT for PV system based on cuckoo search algorithm
title_short A soft computing MPPT for PV system based on cuckoo search algorithm
title_full A soft computing MPPT for PV system based on cuckoo search algorithm
title_fullStr A soft computing MPPT for PV system based on cuckoo search algorithm
title_full_unstemmed A soft computing MPPT for PV system based on cuckoo search algorithm
title_sort soft computing mppt for pv system based on cuckoo search algorithm
publishDate 2013
url http://eprints.utm.my/id/eprint/50866/
http://dx.doi.org/10.1109/PowerEng.2013.6635669
_version_ 1643652869017042944

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