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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: 57 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


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A Proposed Signal Reconstruction Algorithm over Bandlimited Channels for Wireless Communications, ASHOUR, A., KHALAF, A., HUSSEIN, A., HAMED, H., RAMADAN, A.
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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.

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  1/2015 - 2

 HIGHLY CITED PAPER 

Fault Correspondence Analysis in Complex Electric Power Systems

WANG, C. See more information about WANG, C. on SCOPUS See more information about WANG, C. on IEEExplore See more information about WANG, C. on Web of Science, ZHANG, Y. See more information about ZHANG, Y. on SCOPUS See more information about ZHANG, Y. on SCOPUS See more information about ZHANG, Y. on Web of Science
 
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Download PDF pdficon (596 KB) | Citation | Downloads: 1,250 | Views: 4,136

Author keywords
synchronized phasor measurement unit, PMU, backup protection, smart grid, fault correspondence analysis, noise

References keywords
power(24), systems(14), grid(8), electric(8), area(8), smart(7), protection(7), wide(6), network(5), energy(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2015-02-28
Volume 15, Issue 1, Year 2015, On page(s): 11 - 16
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2015.01002
Web of Science Accession Number: 000352158600002
SCOPUS ID: 84924803936

Abstract
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Full text preview
Wide area measurement system (WAMS) mainly serves for the requirement of time synchronization in complex electric power systems. The analysis and control of power system mostly depends on the measurement of state variables, and WAMS provides the basis for dynamic monitoring of power system by these measurements, which can also satisfy the demands of observable, controllable, real-time analysis and decision, self-adaptive etc. requested by smart grid. In this paper, based on the principles of fault correspondence analysis, by calculating row characteristic which represents nodal electrical information and column characteristic which represents acquisition time information, we will conduct intensive research on fault detection. The research results indicate that the fault location is determined by the first dimensional variable, and the occurrence time of fault is determined by the second dimensional variable. The research in this paper will contribute to the development of future smart grid.


References | Cited By

Cited-By Clarivate Web of Science

Web of Science® Times Cited: 8 [View]
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Cited-By SCOPUS

SCOPUS® Times Cited: 6
View record in SCOPUS®
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Cited-By CrossRef

[1] Towards next-generation routing protocols for pocket switched networks, Amah, Tekenate E., Kamat, Maznah, Moreira, Waldir, Abu Bakar, Kamalrulnizam, Mandala, Satria, Batista, Marcos A., Journal of Network and Computer Applications, ISSN 1084-8045, Issue , 2016.
Digital Object Identifier: 10.1016/j.jnca.2016.05.011
[CrossRef]

[2] Power System Event Ranking Using a New Linear Parameter-Varying Modeling with a Wide Area Measurement System-Based Approach, Abolhasani Jabali, Mohammad, Kazemi, Mohammad, Energies, ISSN 1996-1073, Issue 8, Volume 10, 2017.
Digital Object Identifier: 10.3390/en10081088
[CrossRef]

[3] Fault diagnosis and prediction of complex system based on Hidden Markov model, Li, Chen, Wei, Fajie, Wang, Cheng, Zhou, Shenghan, Guirao, Juan L.G., Gao, Wei, Journal of Intelligent & Fuzzy Systems, ISSN 1064-1246, Issue 5, Volume 33, 2017.
Digital Object Identifier: 10.3233/JIFS-169344
[CrossRef]

[4] Determining Selection of Recloser Clusters to Automate Power Grids via Integer Programming and Statistical Current Analysis, VIEIRA, F. H. T., VAZ, R. R. C., FRANCO, R. A. P., CARNEIRO, M. L., ARAUJO, S. G., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 2, Volume 19, 2019.
Digital Object Identifier: 10.4316/AECE.2019.02012
[CrossRef] [Full text]

[5] Algorithms for Selecting and Interconnecting Switches to Automate Power Grids Considering Continuity Indexes and Reliability, Vaz, Rafael R. C., Franco, Ricardo A. P., Corrêa, Henrique P., Vieira, Flávio H. T., Araújo, Sérgio G., Journal of Control, Automation and Electrical Systems, ISSN 2195-3880, Issue 6, Volume 30, 2019.
Digital Object Identifier: 10.1007/s40313-019-00522-6
[CrossRef]

[6] Frequency and time fault diagnosis methods of power transformers, Gutten, Miroslav, Korenciak, Daniel, Kucera, Matej, Janura, Richard, Glowacz, Adam, Kantoch, Eliasz, Measurement Science Review, ISSN 1335-8871, Issue 4, Volume 18, 2018.
Digital Object Identifier: 10.1515/msr-2018-0023
[CrossRef]

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