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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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  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
 
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Download PDF pdficon (2,265 KB) | Citation | Downloads: 256 | Views: 394

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
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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

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[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]


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[CrossRef] [Web of Science Times Cited 20] [SCOPUS Times Cited 30]


[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 31]


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[CrossRef] [Web of Science Times Cited 53] [SCOPUS Times Cited 59]


[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.
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[CrossRef] [SCOPUS Times Cited 257]


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[CrossRef] [Web of Science Times Cited 46] [SCOPUS Times Cited 59]


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[CrossRef] [Web of Science Times Cited 3] [SCOPUS Times Cited 4]


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[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 119] [SCOPUS Times Cited 159]


[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 278] [SCOPUS Times Cited 325]


[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 20] [SCOPUS Times Cited 19]


[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 156] [SCOPUS Times Cited 202]


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[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 147] [SCOPUS Times Cited 173]


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[CrossRef] [Web of Science Times Cited 103] [SCOPUS Times Cited 127]


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[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 4]


[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 11] [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 26] [SCOPUS Times Cited 34]


[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: 8,969 TCR
SCOPUS® Citations for all references: 11,645 TCR

Web of Science® Average Citations per reference: 332 ACR
SCOPUS® Average Citations per reference: 431 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 2024-11-18 21:34 in 176 seconds.




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