Click to open the HelpDesk interface
AECE - Front page banner

Menu:


FACTS & FIGURES

JCR Impact Factor: 0.700
JCR 5-Year IF: 0.700
SCOPUS CiteScore: 1.8
Issues per year: 4
Current issue: Aug 2024
Next issue: Nov 2024
Avg review time: 55 days
Avg accept to publ: 60 days
APC: 300 EUR


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


TRAFFIC STATS

2,803,424 unique visits
1,107,626 downloads
Since November 1, 2009



Robots online now
SemanticScholar


SCOPUS CiteScore

SCOPUS CiteScore


SJR SCImago RANK

SCImago Journal & Country Rank




TEXT LINKS

Anycast DNS Hosting
MOST RECENT ISSUES

 Volume 24 (2024)
 
     »   Issue 3 / 2024
 
     »   Issue 2 / 2024
 
     »   Issue 1 / 2024
 
 
 Volume 23 (2023)
 
     »   Issue 4 / 2023
 
     »   Issue 3 / 2023
 
     »   Issue 2 / 2023
 
     »   Issue 1 / 2023
 
 
 Volume 22 (2022)
 
     »   Issue 4 / 2022
 
     »   Issue 3 / 2022
 
     »   Issue 2 / 2022
 
     »   Issue 1 / 2022
 
 
 Volume 21 (2021)
 
     »   Issue 4 / 2021
 
     »   Issue 3 / 2021
 
     »   Issue 2 / 2021
 
     »   Issue 1 / 2021
 
 
  View all issues  


FEATURED ARTICLE

Application of the Voltage Control Technique and MPPT of Stand-alone PV System with Storage, HIVZIEFENDIC, J., VUIC, L., LALE, S., SARIC, M.
Issue 1/2022

AbstractPlus






LATEST NEWS

2024-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2023. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.700 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.600.

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.

Read More »


    
 

  3/2024 - 5

Analysis of Comprehensive Loss Model of Dry-type Transformer Based on Combined Objective Weighting Method

SHAO, L. See more information about SHAO, L. on SCOPUS See more information about SHAO, L. on IEEExplore See more information about SHAO, L. on Web of Science, WANG, S. See more information about  WANG, S. on SCOPUS See more information about  WANG, S. on SCOPUS See more information about WANG, S. on Web of Science, LIU, H. See more information about  LIU, H. on SCOPUS See more information about  LIU, H. on SCOPUS See more information about LIU, H. on Web of Science, LI, J. See more information about  LI, J. on SCOPUS See more information about  LI, J. on SCOPUS See more information about LI, J. on Web of Science, LI, C. See more information about LI, C. on SCOPUS See more information about LI, C. on SCOPUS See more information about LI, C. on Web of Science
 
View the paper record and citations in View the paper record and citations in Google Scholar
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 (2,259 KB) | Citation | Downloads: 81 | Views: 98

Author keywords
AEWOA, comprehensive loss, combined objective weighting method, dry-type transformer, power quality

References keywords
power(15), transformer(12), optimization(7), systems(5), algorithm(5), type(4), transformers(4), distribution(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2024-08-31
Volume 24, Issue 3, Year 2024, On page(s): 45 - 56
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2024.03005
Web of Science Accession Number: 001306111400005
SCOPUS ID: 85202998978

Abstract
Quick view
Full text preview
In this paper, the comprehensive loss of a dry-type transformer under the influence of power quality is objectively and reasonably analyzed. A combined objective weighting method based on Adaptive Average Pooling Enhanced Whale Optimization Algorithm (AEWOA) is proposed. Four objective weighting methods were utilized to calculate the foundational weights, aiming to circumvent the potential impact of subjective factors on the weighting process. The AEWOA incorporates an enhanced pooling mechanism to accelerate convergence towards the optimal population, thereby improving the efficiency of the algorithm in locating the global optimum. Extreme difference maximization is utilized as the objective function to ensure that a significant degree of differentiation is maintained among the linear combination coefficients. As a result, a comprehensive loss calculation model is established under the influence of power quality. The contrast experiment showcases the model's proficiency in lightweighting, emphasizing its superiority over the superimposed loss calculation method. This underscores the model's rationality and efficacy compared to traditional approaches. The model is valuable for calculating and analyzing the thermal load of dry-type transformers.


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

[1] S. Gao, J. Zhao, Y. Liu, Z. Xu, Z. Li, L. Sun, et al., "Research into power transformer health assessment technology based on uncertainty of information and deep architecture design," Mathematical Problems in Engineering, vol. 2021, pp. 1-12, 2021.
[CrossRef] [Web of Science Times Cited 9] [SCOPUS Times Cited 14]


[2] H. Cong, H. Pan, X. Hu and Q. Li, "Deterioration degree assessment of multiple sulfides in transformer oil based on the entropy-weight method," IEEE Trans. Dielectr. Electr. Insulation, vol. 28, no. 5, pp. 1628-1635, Oct. 2021.
[CrossRef] [Web of Science Times Cited 9] [SCOPUS Times Cited 9]


[3] S. V. Daneshmand, H. Heydari and S. Shakeri, "Multicriteria optimal winding scheme in HTS transformers by analytical hierarchy process," IEEE Transactions on Applied Superconductivity, vol. 21, no. 1, pp. 2-12, Feb. 2011.
[CrossRef] [Web of Science Times Cited 7] [SCOPUS Times Cited 9]


[4] M. Rengaraj, S. Subbaraj, "Decision making on the state of transformers based on insulation condition using AHP and TOPSIS methods," IET Science, Measurement & Technology, vol. 14, no. 2, pp.137-145, Mar. 2020.
[CrossRef] [Web of Science Times Cited 19] [SCOPUS Times Cited 27]


[5] C. Jin-qiang, "Fault prediction of a transformer bushing based on entropy weight TOPSIS and gray theory," Computing in Science & Engineering, vol. 21, no. 6, pp. 55-62, Dec. 2019.
[CrossRef] [Web of Science Times Cited 18] [SCOPUS Times Cited 29]


[6] B. Zhou, J. Chen, Q. Wu, D. Pamucar, W. Wang, L. Zhou, "Risk priority evaluation of power transformer parts based on hybrid FMEA framework under hesitant fuzzy environment," Facta Universitatis, Series: Mechanical Engineering, vol. 20, no. 2, pp. 399-420, 2022.
[CrossRef] [Web of Science Times Cited 50] [SCOPUS Times Cited 57]


[7] B. Chen, X. Li, H. Liu, L. Ge, "Hybrid subjective and objective evaluation method of the equipment for first class distribution network," Energy Procedia, vol. 158, pp. 3452-3457, Feb. 2019.
[CrossRef] [Web of Science Times Cited 5] [SCOPUS Times Cited 10]


[8] P. Silvester and M. V. K. Chari, "Finite element solution of saturable magnetic field problems," IEEE Trans. Power App. Syst., vol. PAS-89, no. 7, pp. 1642-1651, Sept. 1970.
[CrossRef] [SCOPUS Times Cited 257]


[9] J. Smolka, A. J. Nowak, "Experimental validation of the coupled fluid flow, heat transfer and electromagnetic numerical model of the medium-power dry-type electrical transformer," International Journal of Thermal Sciences, vol. 47, no. 10, pp. 1393-1410, Oct. 2008.
[CrossRef] [Web of Science Times Cited 44] [SCOPUS Times Cited 58]


[10] T. Luo, M. G. Niasar and P. Vaessen, "Improved winding losses calculation based on Bessel functions," IEEE Trans. Magn., vol. 59, no. 6, pp. 1-10, Jun. 2023.
[CrossRef] [Web of Science Times Cited 3] [SCOPUS Times Cited 4]


[11] X. M. Lopez-Fernandez, L. A. Alvarez-Gomez, "Calculation of stray losses in continuously transposed conductor cable transformer windings by multi-slice methodology," International Journal of Electrical Power & Energy Systems, vol. 111, pp. 25-33, Apr. 2019.
[CrossRef] [Web of Science Times Cited 3] [SCOPUS Times Cited 5]


[12] I. Naruei, F. Keynia, A. S. Molahosseini, "Hunter-prey optimization: algorithm and applications," Soft Computing, vol. 26, pp. 1279-1314, Feb. 2022.
[CrossRef] [Web of Science Times Cited 106] [SCOPUS Times Cited 142]


[13] H. Su, D. Zhao, A. A. Heidari, L. Liu, X. Zhang, M. Mafarja, et al., "RIME: A physics-based optimization," Neurocomputing, vol. 532, pp. 183-214, May 2023.
[CrossRef] [Web of Science Times Cited 242] [SCOPUS Times Cited 289]


[14] R. K. Hamad, T. A. Rashid, "GOOSE algorithm a powerful optimization tool for real-world engineering challenges and beyond," Evolving Systems, Jan. 2024.
[CrossRef] [Web of Science Times Cited 7] [SCOPUS Times Cited 9]


[15] S. Kul, S. S. Tezcan, H. Duysak, S. A. Celtek, "FEM-based modeling and optimization of dry-type transformers with metaheuristic algorithms," Tehnicki vjesnik - Technical Gazette, vol. 29, no. 5, pp. 1678-1685, Sept. 2022.
[CrossRef] [Web of Science Times Cited 2] [SCOPUS Times Cited 2]


[16] K. Medani, S. Sayah, A. Bekrar, "Whale optimization algorithm based optimal reactive power dispatch: A case study of the Algerian power system," Electric Power Systems Research, vol. 163, pp. 696-705, Oct. 2018.
[CrossRef] [Web of Science Times Cited 152] [SCOPUS Times Cited 197]


[17] S. Mirjalili, A. lewis, "The whale optimization algorithm," Advances in Engineering Software, vol. 95, pp. 51-67, May 2016.
[CrossRef] [Web of Science Times Cited 7620] [SCOPUS Times Cited 9718]


[18] M. H. Nadimi-Shahraki, H. Zamani, S. Mirjalili, "Enhanced whale optimization algorithm for medical feature selection: A COVID-19 case study," Computers in Biology and Medicine, vol. 148, pp. 105858, Sept. 2022.
[CrossRef] [Web of Science Times Cited 138] [SCOPUS Times Cited 165]


[19] M. Sippola and R. E. Sepponen, "Accurate prediction of high-frequency power-transformer losses and temperature rise," IEEE Transactions on Power Electronics, vol. 17, no. 5, pp. 835-847, Sept. 2002.
[CrossRef] [Web of Science Times Cited 102] [SCOPUS Times Cited 125]


[20] "IEEE recommended practice for establishing liquid-immersed and dry-type power and distribution transformer capability when supplying nonsinusoidal load currents," IEEE Std C57.110TM-2018 (Revision of IEEE Std C57.110-2008), pp. 1-68, Oct. 2018.
[CrossRef]


[21] "IEEE standard test code for dry-type distribution and power transformers," IEEE Std C57.12.91-2020 (Revision of IEEE Std C57.12.91-2011), pp. 1-102, Jan. 2021.
[CrossRef]


[22] C. Liu, J. Hao, R. Liao, F. Yang, W. Li, Z. Li, "High proportion and large value harmonic current influence on the magnetic field, loss and temperature distribution for ultrahigh voltage converter transformer," IET Electric Power Applications, vol. 18, no. 2, pp. 208-225, Feb. 2024.
[CrossRef] [Web of Science Times Cited 2] [SCOPUS Times Cited 3]


[23] C. Pan, C. Wang, Z. Liu, X. Chen, "Winding vibration analysis of unbalanced transformer based on electromagnetic-mechanical coupling," International Journal of Electrical Power & Energy Systems, vol. 134, pp. 107459, Jan. 2022.
[CrossRef] [Web of Science Times Cited 8] [SCOPUS Times Cited 10]


[24] A. Nakadomari, R. Shigenobu, T. Kato, N. Krishnan, A. M. Hemeida, H. Takahashi, et al., "Unbalanced voltage compensation with optimal voltage controlled regulators and load ratio control transformer," Energies, vol. 14, no. 11, pp. 1-18, May 2021.
[CrossRef] [Web of Science Times Cited 10] [SCOPUS Times Cited 15]


[25] M. Bigdeli, A. Abu-Siada, "Clustering of transformer condition using frequency response analysis based on k-means and GOA," Electric Power Systems Research, vol. 202, pp. 107619, Jan. 2022.
[CrossRef] [Web of Science Times Cited 25] [SCOPUS Times Cited 31]


[26] J. D. Markovic-petrovic, M. D. Stojanovic, S. V. Bostjancic Rakas, "A fuzzy AHP approach for security risk assessment in SCADA networks," Advances in Electrical and Computer Engineering, vol. 19, no. 3, pp. 69-74, 2019.
[CrossRef] [Full Text] [Web of Science Times Cited 5] [SCOPUS Times Cited 15]




References Weight

Web of Science® Citations for all references: 8,586 TCR
SCOPUS® Citations for all references: 11,200 TCR

Web of Science® Average Citations per reference: 318 ACR
SCOPUS® Average Citations per reference: 415 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 2024-09-21 22:22 in 178 seconds.




Note1: Web of Science® is a registered trademark of Clarivate Analytics.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.

Copyright ©2001-2024
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.

Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.

Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.




Website loading speed and performance optimization powered by: 


DNS Made Easy