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JCR Impact Factor: 0.800
JCR 5-Year IF: 1.000
SCOPUS CiteScore: 2.0
Issues per year: 4
Current issue: Feb 2024
Next issue: May 2024
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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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2023-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2022. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.800 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 1.000.

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SCOPUS published the CiteScore for 2022, computed by using an improved methodology, counting the citations received in 2019-2022 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2022 is 2.0. For "General Computer Science" we rank #134/233 and for "Electrical and Electronic Engineering" we rank #478/738.

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  2/2022 - 4

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: 853 | Views: 1,363

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.


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Cited-By CrossRef

[1] Comparison of Control Configurations and MPPT Algorithms for Single-Phase Grid-Connected Photovoltaic Inverter, PRASATSAP, U., NERNCHAD, N., TERMRITTHIKUN, C., SRITA, S., KAEWCHUM, T., SOMKUN, S., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 2, Volume 23, 2023.
Digital Object Identifier: 10.4316/AECE.2023.02007
[CrossRef] [Full text]

[2] A critical review on advanced reconfigured models and metaheuristics-based MPPT to address complex shadings of solar array, Mishra, Vijay Laxmi, Chauhan, Yogesh K., Verma, K.S., Energy Conversion and Management, ISSN 0196-8904, Issue , 2022.
Digital Object Identifier: 10.1016/j.enconman.2022.116099
[CrossRef]

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