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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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PUBLISHER

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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Application of the Voltage Control Technique and MPPT of Stand-alone PV System with Storage, HIVZIEFENDIC, J., VUIC, L., LALE, S., SARIC, M.
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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.

2023-Jun-05
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.

2022-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

2022-Jun-16
SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 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 2021 is 2.5, the same as for 2020 but better than all our previous results.

2021-Jun-30
Clarivate Analytics published the InCites Journal Citations Report for 2020. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.221 (1.053 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.961.

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  3/2018 - 8

 HIGHLY CITED PAPER 

A New Method for MPPT Algorithm Implementation and Testing, Suitable for Photovoltaic Cells

SFIRAT, A. See more information about SFIRAT, A. on SCOPUS See more information about SFIRAT, A. on IEEExplore See more information about SFIRAT, A. on Web of Science, GONTEAN, A. See more information about  GONTEAN, A. on SCOPUS See more information about  GONTEAN, A. on SCOPUS See more information about GONTEAN, A. on Web of Science, BULARKA, S. See more information about BULARKA, S. on SCOPUS See more information about BULARKA, S. on SCOPUS See more information about BULARKA, S. on Web of Science
 
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Download PDF pdficon (1,451 KB) | Citation | Downloads: 2,421 | Views: 3,091

Author keywords
algorithms, maximum power point trackers, photovoltaic cells, simulation, solar energy

References keywords
photovoltaic(18), solar(14), power(13), energy(11), cell(8), maximum(7), system(6), point(6), model(6), tracking(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2018-08-31
Volume 18, Issue 3, Year 2018, On page(s): 53 - 60
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2018.03008
Web of Science Accession Number: 000442420900008
SCOPUS ID: 85052151335

Abstract
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The goal of this paper is to present an implementation method for a Maximum Power Point Tracking (MPPT) algorithm using an electronic load and custom designed LabView software. The aim is to facilitate the testing of the algorithm in laboratory conditions, before it can be used in the real world, improving development time, facilitating cost reduction and offering confidence in the design. This paper analyses the most suitable MPPT algorithms for testing purposes and suggests a complete software and hardware implementation for hardware in the loop testing which can facilitate in-depth evaluation of different algorithms. In order to replicate realistic stimuli for the MPPT algorithm, a solar array simulator has been designed. Using the proposed method, the performance of various MPPT algorithms for different atmospheric conditions can be evaluated. The hardware and software setup have been tested and validated in laboratory conditions. The experimental results have validated the proposed evaluation method and the good dynamic response of the MPPT algorithm.


References | Cited By

Cited-By Clarivate Web of Science

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Cited-By SCOPUS

SCOPUS® Times Cited: 8
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Cited-By CrossRef

[1] Power Optimization in Hybrid Renewable Energy Standalone System using SMC-ANFIS, KALVINATHAN, V., CHITRA, S., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 3, Volume 22, 2022.
Digital Object Identifier: 10.4316/AECE.2022.03008
[CrossRef] [Full text]

[2] Maximum Power Point Tracking Algorithm for Grid-connected Photo Voltaic System, Reddy Gogulamoodi, Koti, Maflin Shaby, S., Ramesh, P., Journal of Physics: Conference Series, ISSN 1742-6588, Issue , 2019.
Digital Object Identifier: 10.1088/1742-6596/1172/1/012037
[CrossRef]

[3] MPPT Control Algorithm Based on Particle Swarm Optimization and Adaptive Linear Active Disturbance Rejection Control, Zhang, Miao, Zhuang, Keyu, Zhao, Tong, Xue, Jingze, Gao, Yunlong, Cui, Shuai, Qiao, Zheng, Energies, ISSN 1996-1073, Issue 23, Volume 15, 2022.
Digital Object Identifier: 10.3390/en15239091
[CrossRef]

[4] Exploration of different maximum power point tracking techniques for photovoltaic system, Rajbhoj, Pankaj, Hamde, Satish, International Journal of Ambient Energy, ISSN 0143-0750, Issue 1, Volume 44, 2023.
Digital Object Identifier: 10.1080/01430750.2022.2137584
[CrossRef]

[5] Simulation and Hardware Implementation of Photovoltaic Maximum Power Point Tracking System, Alweheshi, Shoroug, Abdelali, Aisha, Albarassi, Muhanad, Hammoda, Ahmed, Mohamed, Adel, 2019 International Conference on Power Generation Systems and Renewable Energy Technologies (PGSRET), ISBN 978-1-7281-2301-1, 2019.
Digital Object Identifier: 10.1109/PGSRET.2019.8882739
[CrossRef]

[6] Analyzing the Effect of Partial Shading on Performance of Grid Connected Solar PV System, Anjali, , Kaushik, Raj Kumar, Sharma, Deepak, 2018 3rd International Conference and Workshops on Recent Advances and Innovations in Engineering (ICRAIE), ISBN 978-1-5386-4525-3, 2018.
Digital Object Identifier: 10.1109/ICRAIE.2018.8710395
[CrossRef]

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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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