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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
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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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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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  2/2010 - 24

 HIGHLY CITED PAPER 

Assessment of Distributed Generation Source Impact on Electrical Distribution System Performance

MANJUNATHA, S. See more information about MANJUNATHA, S. on SCOPUS See more information about MANJUNATHA, S. on IEEExplore See more information about MANJUNATHA, S. on Web of Science, PANDURANGA, K. V. See more information about PANDURANGA, K. V. on SCOPUS See more information about PANDURANGA, K. V. on SCOPUS See more information about PANDURANGA, K. V. on Web of Science
 
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Download PDF pdficon (673 KB) | Citation | Downloads: 1,883 | Views: 5,856

Author keywords
distributed generation, network performance, optimal operation, power loss reduction, voltage stability

References keywords
power(6), generation(4), distribution(4), distributed(4), chen(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2010-05-31
Volume 10, Issue 2, Year 2010, On page(s): 135 - 140
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2010.02024
Web of Science Accession Number: 000280312600024
SCOPUS ID: 77954644571

Abstract
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Full text preview
The recent trends in electrical power distribution system operation and management are aimed at improving system conditions in order to render good service to the customer. The reforms in distribution sector have given major scope for employment of distributed generation (DG) resources which will boost the system performance. This paper proposes a heuristic technique for allocation of distribution generation source in a distribution system. The allocation is determined based on overall improvement in network performance parameters like reduction in system losses, improvement in voltage stability, improvement in voltage profile. The proposed Network Performance Enhancement Index (NPEI) along with the heuristic rules facilitate determination of feasible location and corresponding capacity of DG source. A Priority list is prepared with decreasing values of NPEI so that the designer can select most feasible location. The developed approach is tested with different test systems to ascertain its effectiveness.


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

[1] Haiyan Chen, Jinfu Chen, Dongyuan Shi, Xianzhong Duan, "Power Flow Study and Voltage Stability Analysis for Distribution Systems with Distributed Generation," Power Engineering Society General Meeting, June 2006

[2] Naresh Acharya, Pukar Mahat, N. Mithulanathan, "An Analytical Approach for DG Allocation in Primary Distribution Network," Electrical Power & Energy Systems, Vol. 28, pp. 669-678, 2006

[3] H. Iyer, S. Ray and R. Ramakumar, "Voltage Profile Improvement with Distributed Generation," Power Engineering Society General Meeting, June 2005.

[4] H. Iyer, S. Ray and R. Ramakumar, "Assessment of Distributed Generation Based on Voltage Profile Improvement and Line Loss Reduction," Proc. of IEEE Transmission and Distribution Conference, 2006.
[CrossRef] [Web of Science Times Cited 17] [SCOPUS Times Cited 31]


[5] Pathomthat Chiradeja, R. Ramakumar, "An Approach to Quantify the Technical Benefits of Distributed Generation," IEEE Transactions on Energy Conversion, Vol. 19, No. 4, pp. 764-773, December 2004.
[CrossRef] [Web of Science Times Cited 457] [SCOPUS Times Cited 640]


[6] Tsai-Hsiang Chen, Mo-Shing Chen, Kab-Ju Hwang, Paul Kotas and Elei A Chebli, "Distribution system power flow analysis-a rigid approach", IEEE Trans. Power Delivery, Vol. 6, No. 3, pp. 1146-1152, July 1991.
[CrossRef] [Web of Science Times Cited 314] [SCOPUS Times Cited 455]


References Weight

Web of Science® Citations for all references: 788 TCR
SCOPUS® Citations for all references: 1,126 TCR

Web of Science® Average Citations per reference: 131 ACR
SCOPUS® Average Citations per reference: 188 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 22:25 in 23 seconds.




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


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