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Hybrid PSO-FLC for dynamic global peak extraction of the partially shaded photovoltaic system

Particle Swarm Optimization (PSO) is widely used in maximum power point tracking (MPPT) of photovoltaic (PV) energy systems. Nevertheless, this technique suffers from two main problems in the case of partial shading conditions (PSCs). The first problem is that PSO is a time invariant optimization te...

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Main Authors: Farh, H. M. H., Eltamaly, A. M., Othman, M. F.
Format: Article
Language:English
Published: NLM (Medline) 2018
Subjects:
T Technology (General)
Online Access:http://eprints.utm.my/id/eprint/79921/1/HassanMHFarh2018_HybridPSOFLCforDynamicGlobalPeak.pdf
http://eprints.utm.my/id/eprint/79921/
http://dx.doi.org/10.1371/journal.pone.0206171
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spelling my.utm.799212019-01-28T07:01:59Z http://eprints.utm.my/id/eprint/79921/ Hybrid PSO-FLC for dynamic global peak extraction of the partially shaded photovoltaic system Farh, H. M. H. Eltamaly, A. M. Othman, M. F. T Technology (General) Particle Swarm Optimization (PSO) is widely used in maximum power point tracking (MPPT) of photovoltaic (PV) energy systems. Nevertheless, this technique suffers from two main problems in the case of partial shading conditions (PSCs). The first problem is that PSO is a time invariant optimization technique that cannot follow the dynamic global peak (GP) under time variant shading patterns (SPs) and sticks to the first GP that occurs at the beginning. This problem can be solved by dispersing the PSO particles using two new techniques introduced in this paper. The two new proposed PSO re-initialization techniques are to disperse the particles upon the SP changes and the other one is upon a predefined time (PDT). The second problem is regarding the high oscillations around steady state, which can be solved by using fuzzy logic controller (FLC) to fine-tune the output power and voltage from the PV system. The new contribution of this paper is the hybrid PSO-FLC with two PSO particles dispersing techniques that is able to solve the two previous mentioned problems effectively and improve the performance of the PV system in both normal and PSCs. A detailed list of comparisons between hybrid PSO-FLC and original PSO using the two proposed methodologies are achieved. The results prove the superior performance of hybrid PSO-FLC compared to PSO in terms of efficiency, accuracy, oscillations reduction around steady state and soft tuning of the GP tracked. NLM (Medline) 2018 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/79921/1/HassanMHFarh2018_HybridPSOFLCforDynamicGlobalPeak.pdf Farh, H. M. H. and Eltamaly, A. M. and Othman, M. F. (2018) Hybrid PSO-FLC for dynamic global peak extraction of the partially shaded photovoltaic system. PloS one, 13 (11). ISSN 1932-6203 http://dx.doi.org/10.1371/journal.pone.0206171 DOI:10.1371/journal.pone.0206171
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/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Farh, H. M. H.
Eltamaly, A. M.
Othman, M. F.
Hybrid PSO-FLC for dynamic global peak extraction of the partially shaded photovoltaic system
description Particle Swarm Optimization (PSO) is widely used in maximum power point tracking (MPPT) of photovoltaic (PV) energy systems. Nevertheless, this technique suffers from two main problems in the case of partial shading conditions (PSCs). The first problem is that PSO is a time invariant optimization technique that cannot follow the dynamic global peak (GP) under time variant shading patterns (SPs) and sticks to the first GP that occurs at the beginning. This problem can be solved by dispersing the PSO particles using two new techniques introduced in this paper. The two new proposed PSO re-initialization techniques are to disperse the particles upon the SP changes and the other one is upon a predefined time (PDT). The second problem is regarding the high oscillations around steady state, which can be solved by using fuzzy logic controller (FLC) to fine-tune the output power and voltage from the PV system. The new contribution of this paper is the hybrid PSO-FLC with two PSO particles dispersing techniques that is able to solve the two previous mentioned problems effectively and improve the performance of the PV system in both normal and PSCs. A detailed list of comparisons between hybrid PSO-FLC and original PSO using the two proposed methodologies are achieved. The results prove the superior performance of hybrid PSO-FLC compared to PSO in terms of efficiency, accuracy, oscillations reduction around steady state and soft tuning of the GP tracked.
format Article
author Farh, H. M. H.
Eltamaly, A. M.
Othman, M. F.
author_facet Farh, H. M. H.
Eltamaly, A. M.
Othman, M. F.
author_sort Farh, H. M. H.
title Hybrid PSO-FLC for dynamic global peak extraction of the partially shaded photovoltaic system
title_short Hybrid PSO-FLC for dynamic global peak extraction of the partially shaded photovoltaic system
title_full Hybrid PSO-FLC for dynamic global peak extraction of the partially shaded photovoltaic system
title_fullStr Hybrid PSO-FLC for dynamic global peak extraction of the partially shaded photovoltaic system
title_full_unstemmed Hybrid PSO-FLC for dynamic global peak extraction of the partially shaded photovoltaic system
title_sort hybrid pso-flc for dynamic global peak extraction of the partially shaded photovoltaic system
publisher NLM (Medline)
publishDate 2018
url http://eprints.utm.my/id/eprint/79921/1/HassanMHFarh2018_HybridPSOFLCforDynamicGlobalPeak.pdf
http://eprints.utm.my/id/eprint/79921/
http://dx.doi.org/10.1371/journal.pone.0206171
_version_ 1643658331727855616
score 13.211869

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