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Print ISSN: 1582-7445
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doi: 10.4316/AECE


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FEATURED ARTICLE

Analysis of the Hybrid PSO-InC MPPT for Different Partial Shading Conditions, LEOPOLDINO, A. L. M., FREITAS, C. M., MONTEIRO, L. F. C.
Issue 2/2022

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  2/2022 - 4

 HIGHLY CITED PAPER 

Analysis of the Hybrid PSO-InC MPPT for Different Partial Shading Conditions

LEOPOLDINO, A. L. M. See more information about LEOPOLDINO, A. L. M. on SCOPUS See more information about LEOPOLDINO, A. L. M. on IEEExplore See more information about LEOPOLDINO, A. L. M. on Web of Science, FREITAS, C. M. See more information about  FREITAS, C. M. on SCOPUS See more information about  FREITAS, C. M. on SCOPUS See more information about FREITAS, C. M. on Web of Science, MONTEIRO, L. F. C. See more information about MONTEIRO, L. F. C. on SCOPUS See more information about MONTEIRO, L. F. C. on SCOPUS See more information about MONTEIRO, L. F. C. on Web of Science
 
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Download PDF pdficon (3,164 KB) | Citation | Downloads: 983 | Views: 357

Author keywords
hybrid intelligent systems, maximum power point trackers, particle swarm optimization, photovoltaic systems, solar power generation

References keywords
power(13), mppt(10), system(9), photovoltaic(8), energy(8), shading(7), partial(7), systems(6), swarm(6), tracking(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2022-05-31
Volume 22, Issue 2, Year 2022, On page(s): 29 - 36
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2022.02004
Web of Science Accession Number: 000810486800004
SCOPUS ID: 85131732188

Abstract
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This article addresses the Particle Swarm Optimization with Incremental Conductance algorithm (PSO-InC) performance as the maximum power point tracking algorithm (MPPT), when the photovoltaic system is under different partial shading patterns. The PSO-InC MPPT combines the global-searching capabilities of particle swarm optimization with the smoother search feature of the incremental conductance algorithm. The analysis proceeds from a systematic approach involving the system simulation for different Environmental conditions. Besides that, to accurately represent the effects of the inherent stochasticity of the PSO, diverse starting conditions were considered in each case. The main contribution, in this sense, consists of highlighting some PSC patterns that might compromise the effectiveness of the PSO, even though the average efficacy on searching the global MPP (GMPP) is over 89%. For instance, based on one of the exploited PSC patterns, one may note a decrement of the PSO effectiveness to a level as lower as 36%. This article also presents simulation results highlighting the PSO-InC MPPT dynamics under transient and steady-state conditions.


References | Cited By  «-- Click to see who has cited this paper

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[15] A. L. M. Leopoldino, C. Magalhaes Freitas, and L. F. Correa Monteiro, "On the effects of hyper-parameters adjustments to the PSO-GMPPT algorithm for a photovoltaic system under partial shading conditions," EAI Endorsed Trans. Energy Web, vol. 7, no. 25, p. 160981, Jan. 2020.
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[25] L. F. C. Monteiro, C. M. Freitas, and M. D. Bellar, "Improvements on the incremental conductance MPPT method applied to a PV string with single-phase to three-phase converter for rural grid applications," Advances in Electrical and Computer Engineering, vol. 19, no. 1, p. 8, 2019.
[CrossRef] [Full Text] [Web of Science Times Cited 3] [SCOPUS Times Cited 6]




References Weight

Web of Science® Citations for all references: 3,672 TCR
SCOPUS® Citations for all references: 5,148 TCR

Web of Science® Average Citations per reference: 141 ACR
SCOPUS® Average Citations per reference: 198 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2024-07-12 11:51 in 200 seconds.




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