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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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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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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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  4/2018 - 13

 HIGHLY CITED PAPER 

Impact of Photovoltaic Systems Placement, Sizing on Power Quality in Distribution Network

YMERI, A. See more information about YMERI, A. on SCOPUS See more information about YMERI, A. on IEEExplore See more information about YMERI, A. on Web of Science, MUJOVIC, S. See more information about MUJOVIC, S. on SCOPUS See more information about MUJOVIC, S. on SCOPUS See more information about MUJOVIC, S. on Web of Science
 
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Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (1,378 KB) | Citation | Downloads: 1,094 | Views: 2,631

Author keywords
distributed power generation, genetic algorithms, photovoltaic systems, power quality, power systems

References keywords
distribution(18), distributed(17), generation(14), system(8), power(8), losses(8), placement(6), networks(6), energy(6), algorithm(6)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2018-11-30
Volume 18, Issue 4, Year 2018, On page(s): 107 - 112
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2018.04013
Web of Science Accession Number: 000451843400013
SCOPUS ID: 85058779829

Abstract
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The paper presents a Decision Tree Algorithm for impact of photovoltaic systems placement and sizing in order to improve power quality in distribution networks. The proposed approach is based primarily on ID3 and J48 Decision Tree Algorithms. With these algorithms, for different sizes of photovoltaic systems, can be defined the optimal location as well as minimal power losses of the distribution network. The simulations were carried out with real data obtained from the Kosovo Distribution Network and visualized with WEKA Toolbox. The obtained results compared with Genetic Algorithm MATLAB toolbox and DIGSILENT/Power factory software, prove that the Decision Tree Algorithm works well with an excellent and fast accuracy. The results from the application of the proposed method showed reduced power losses and optimal location in the distribution network confirmed method's validity. This approach can be used by engineers, electric utilities and distribution network operators for a quick decision with more efficient integration of new photovoltaic systems in the current distribution networks.


References | Cited By

Cited-By Clarivate Web of Science

Web of Science® Times Cited: 3 [View]
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Cited-By SCOPUS

SCOPUS® Times Cited: 6
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Cited-By CrossRef

[1] PSO-Based Oscillatory Stability Assessment by Using the Torque Coefficients for SMIB, Mohamed Kamari, Nor Azwan, Musirin, Ismail, Dagang, Ahmad Nazri, Mohd Zaman, Mohd Hairi, Energies, ISSN 1996-1073, Issue 5, Volume 13, 2020.
Digital Object Identifier: 10.3390/en13051231
[CrossRef]

[2] Electricity production from solar Energy in Kosovo and Environmental Impacts, Krasniqi, Nexhim, Ymeri, Armend, IFAC-PapersOnLine, ISSN 2405-8963, Issue 39, Volume 55, 2022.
Digital Object Identifier: 10.1016/j.ifacol.2022.12.039
[CrossRef]

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


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